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Job Postings

Open to all SC attendees. Find your new employer! Companies and organizations will be posting positions through January 2024.

Job Fair Chair
Laura Theademan, Purdue University

10am-3pm
Research Specialist - Machine Learning (JR100600)
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Brookhaven National Laboratory
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Upton, NY
DescriptionThe Machine Learning Group within Brookhaven National Laboratory’s Computational Science Initiative (CSI) invites exceptional candidates to apply for a Research Specialist (RS1/RS2) position focused on machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development of deep learning ML models and adaptation of existing ones for scientific and security applications; ML models for natural language processing (NLP) and computer vision (CV), e.g., Large Language Models (LLMs) and multi-modal, multitask Foundation Models; and techniques supporting stakeholders and end users of applied ML methods, such as uncertainty quantification (UQ), interpretability and explainability for artificial intelligence (XAI), and responsible AI.

This position provides access to world-class computing and data resources, such as Brookhaven Lab’s Institutional Cluster and DOE leadership computing facilities. These platforms afford computing at scale, as well as access to unique data sources, ensuring the successful candidate will have the necessary tools to tackle challenging DOE problems of interest. In addition, the successful candidate will join a growing research group with diverse expertise and projects that span laboratory-level and nationally concerned DOE missions. This research staff position presents a distinct opportunity to conduct interdisciplinary collaborative research at Brookhaven Lab with a highly competitive salary.

Essential Duties and Responsibilities:

Assist in developing novel algorithms and conduct computational experiments.
Support dissemination of research findings in publications, posters, project reports, and presentations.
Effectively communicate with supervisor and team members.
May independently develop solutions and ideas.
RequirementsRequired Knowledge, Skills, and Abilities: Bachelor’s degree with two or more (2+) years of experience or a Master's degree with one or more (1+) years of experience in computational science or related fields (e.g., applied mathematics, statistics, physics). Solid programming skills and computer science knowledge. Familiar with deep learning libraries. Proficient written and verbal communication skills. Preferred Knowledge, Skills, and Abilities: Bachelor’s degree with five or more (5+) years of experience, or Master’s and three or more (3+) years of experience, or Doctorate; experience in computational science or related fields (e.g., applied mathematics, statistics, physics). Engineering or research experience with programming deep learning models. Moderate publication track record in machine learning or related field. Experience working as part of multidisciplinary scientific collaborations. Familiar with Linux, Bash, Git, Docker, and/or other software development tools.
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
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2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
HPC Software Integration Engineer
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BAE Systems Inc.
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Saratoga Springs, UT
DescriptionJob Description
Your new career awaits you at BAE Systems!

BAE Systems, a top-ten prime contractor to the U.S. Department of Defense, based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. We have more than 80 locations across the U.S. and in Afghanistan, Djibouti, Germany, Japan, Korea, Thailand and the United Kingdom.

At BAE Systems, we promote a strong, collaborative culture and provide our employees with the tools, skills and training they need to succeed. We are all about trust, camaraderie and a shared ambition to lead the world in defense technologies and national security services. We offer flexible work environment to support the balance in your life and keep you performing at your best. Be a part of a company that is part of the community; driven to improve our future and protect our freedom.

If you are a Senior Software Integration Engineer, we have a position for you. The typical responsibilities are:

Analyzes, diagnoses and resolves issues with applications software and systems.
Collaborates with hardware engineers in the planning, design, development, and utilization of data processing systems for product and commercial software.
Determines computer user needs, analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and controls, designs and develops compilers and assemblers, utility programs, and operating systems.
RequirementsRequired Education, Experience, & Skills The ideal candidates shall have a Bachelor's Degree in Computer Science or related field and have at least five (5) years of demonstrable experience with integrating, installing, configuring, upgrading, compiling and supporting COTS/GOTS software in a heterogeneous operating system environment. Or the individual shall have five (5) years full time Computer Science directly related work that can be substituted for a degree and have at least six (6) years of demonstrable experience with integrating, installing, configuring, upgrading, compiling and supporting COTS/GOTS software in a heterogeneous operating system environment. Required experience working with Linux and Linux scripting. An industry recognized professional certification, may substitute as one year experience. A Master's Degree in Computer Science or related field may substitute for two (2) years experience. TS SCI level clearance with the appropriate Poly required *IAT Level II Certification Required upon time of hire*
Company DescriptionAbout BAE Systems Intelligence & Security BAE Systems Intelligence & Security, based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. That’s BAE Systems. That’s Inspired Work. Equal Opportunity Employer/Females/Minorities/Veterans/Disabled/Sexual Orientation/Gender Identity/Gender Expression. To see Inspired Work in action, visit www.baesystems.com and follow us on Facebook: www.facebook.com/baesystemsintel.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
PhD/Senior Software Engineer
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SambaNova Systems
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Palo Alto, CA
DescriptionIf you recently graduated or will graduate within the upcoming academic year with your PhD and are interested in full-time software engineering opportunities with the leading AI startup, please apply via https://grnh.se/0a2e092b4us and tell us a little about yourself! If there's a match someone will be in contact.
RequirementsWe are looking especially for engineers with one or more of the following interests and skill sets: System Software Machine Learning & Applications Compilers Hardware / Software Co-Design
Company DescriptionThe third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations. SambaNova Suite™ is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond. Annual Salary Range and Level The base salary for this position ranges from $130,000/year up to $160,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location. Benefits Summary SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 80% premium coverage for dependents and offer a Health Savings Account(HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account(FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits includes a full subscription to Headspace, access to One Medical, counseling services with an Employee Assistance Program, and much more.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
ASIC Design Engineer
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SambaNova Systems
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Palo Alto, CA OR Austin, TX
DescriptionSambaNova Systems is looking for talented and motivated engineers to help us solve some of the most challenging problems in machine learning, artificial intelligence, and data analytics. As an ASIC Design Engineer, you'll have the opportunity to help build our cutting edge machine learning accelerator chips.

Roles and Responsibilities

Define block-level architecture / microarchitecture

Work with architects and software teams to develop new features and improve application performance

Code, debug, integrate, and support RTL design throughout chip lifecycle

Work with design verification team to converge design functionality and performance

Work with the physical design team to converge frequency, area, and power.
RequirementsQualifications BS in EECS (or related discipline) with computer architecture or ASIC design focus. MS/PhD preferred. Solid understanding of all or several of the following domains (Computer architecture, deep learning, microarchitecture/logic design, linear algebra) Curriculum covers all or several of the following subjects (Computer architecture, machine learning algorithms, VLSI, Digital Design, SoC) Proficient with HDL languages such as SystemVerilog/Verilog/VHDL/Chisel Strong collaborator as we believe in no boundaries and collaboration across the entire organization with access to all levels and departments Academic projects / internship experience on ASIC development preferred Demonstrated research experience with ML or hardware accelerators preferred
Company DescriptionThe third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations. SambaNova Suite™ is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond. -- Annual Salary Range and Level The base salary for this position ranges from $120,000/year up to $160,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location. Benefits Summary SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 80% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits includes a full subscription to Headspace, access to One Medical, counseling services with an Employee Assistance Program, and much more.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoc - Machine Learning (JR100600)
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Brookhaven National Laboratory
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Upton, NY
DescriptionThe Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE).

Topics of particular interest include: (i) novel development of deep learning ML models and adaptation of existing ones for scientific and security applications; (ii) ML models for natural language processing (NLP), including Large Language Models (LLMs) and multi-modal, multi-task Foundation Models; and (iii) techniques supporting stakeholders and end-users of applied ML methods, including uncertainty quantification (UQ), interpretability and explainability (XAI), and visualization techniques.

The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale, and together with access to unique data sources, will ensure that the successful candidate has the necessary resources to solve challenging DOE problems of interest. The successful candidate will join a growing research group with diverse expertise and projects
spanning the full breadth of BNL’s and the DOE’s missions.

This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary.

Essential Duties and Responsibilities:

● Conduct research in ML and NLP for various problems relating to scientific discovery, workflow acceleration, and national security.
● Implement, adapt, and evaluate ML and NLP algorithms for scientific and security applications.
● Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing, and methods evaluation.
● Formulate own high-quality research ideas and directions in collaboration with mentors in the group.
● Communicate research progress, challenges and achievements, and engage within and beyond the group on new potential collaborations.
RequirementsRequired Knowledge, Skills, and Abilities: ● Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. ● Strong theoretical understanding and practical experience in deep learning-based machine learning or natural language processing. ● Strong research experience (e.g. evidenced by publication record). ● Excellent programming and computer science skills. ● Ability to obtain and maintain security clearance, which requires U.S. Citizenship. ● BNL cannot sponsor US work authorization/visa for this position. Preferred Knowledge, Skills, and Abilities: ● Practical experience developing novel ML or NLP algorithms and models, and/or applying such models to scientific or security problems. ● Experience working in multidisciplinary collaborations. OTHER INFORMATION: Initial 2-year term appointment subject to renewal contingent on performance and funding BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events This is a fully onsite position located at BNL
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
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2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Scientific Group Leader, Emerging Architectures and Performance for Advanced Computing
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Oak Ridge National Laboratory
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Oak Ridge
DescriptionOverview:

Interested in taking your scientific computing skills to the next level? We are seeking a senior computer scientist to lead a world class research group in the areas of Architectures and Performance for the Oak Ridge National Labs (ORNL) and Department of Energy (DOE) missions. Responsibilities include group technical leadership and management, and research.



The Architectures and Performance Group (APG) designs and prototypes the scientific computing systems of tomorrow. APG works closely with domain scientists to solve key computational challenges in DOE’s scientific mission. We coordinate and partner with other groups across ORNL, other national laboratories, academic, and industry to investigate the fast-moving, dynamic landscape of computing.

This challenging position is in the Advanced Computing Systems Section within the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering.





Purpose:

You will have the opportunity to provide Research and Development (R&D) leadership to a group that strategically advances science and technology consistent with ORNL’s status as the world’s premier R&D institution!


You will bring together a group of peers with the primary goal of pursuing global scientific leadership, cultivate ORNL’s culture among group members, and continue to build and scale up individual excellence and impact in R&D.



Major Duties/Responsibilities:

Be a recognized leader in your area of technical expertise that will initiate, lead, and perform independent R&D on an ongoing basis! Responsibilities for this position include working with the project team to create, evaluate, and publish novel research ideas, mentoring students, and collaborating with our partners and sponsors. Research activities include, but are not limited to:

Rapid prototyping and evaluation of experimental systems, including hardware, software, tools, and applications, and being proficient developing sophisticated software systems, like an operating system, compiler, adaptive runtime system, or scalable performance tool.
Studying the performance, resiliency, power, and efficiency of modern and future high-performance computer systems under various workload characteristics through measurement, modeling, and simulation.
Publishing papers in high-quality refereed conferences and journals, such as SC, ICRC, ISSCC, MICRO, and IEEE TPDS.
Actively collaborating with industry, academia, government labs, and applications developers in a variety of venues.
Delivering research proposals and reporting to major funding agencies.


Additional Responsibilities include:

Leadership

Lead creation of a cohesive group research strategy to ensure the success of new and ongoing research projects to position the group for future success.
Seize on new opportunities and/or expand existing efforts by tracking industry, academic, and government trends.
Assist staff in setting performance goals consistent with the group’s strategy and members’ long-term career goals. Provide feedback to address performance issues in a timely manner.
Advise your R&D Section Head with staff development while providing direct and impactful guidance to staff on regular basis.
Attract a quality, diverse pool of top candidates and hire staff members who are committed to extraordinary R&D and aspire to be the best in their field.
Lead by exercising the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research.
Coach and mentor staff regarding Battelle’s “Safe Conduct of Research” principles
Lead ESH&Q by example and ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures.
Exemplify a commitment to “One ORNL” by modeling lab expectations for excellence in research, operations, and community engagement, and by working in coordination to leverage capabilities across the lab.


Service

Serve as immediate supervisor for staff members in group.
Encourage staff to “think and dream big,” take appropriate risks in their work, and develop skills that will enable them to pursue new insights, scientific passions, and research programs.
Advance the reputation of ORNL through Professional Society leadership and involvement, and organization of technical events.
Support group members by consistently reviewing technical products such as proposals, publications, and artifacts to ensure high quality and consistency with ORNL standards.
Build strong interdisciplinary teams across ORNL and the community.
Connect staff to your scientific network and professional societies.
Hold regular scientific/technical group meetings and be visible in the labs and workplace.
Assume front-line responsibility for safety in the group’s laboratory.
Communicate the importance of protecting proprietary or sensitive information and following ORNL cybersecurity policies and guidelines.





Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain hardworking people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.



Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.
RequirementsBasic Qualifications Required: Requires a Ph.D. in computer science, computational science, or a related subject area. Have at least six years of relevant research experience, beyond the PhD. A well-established track record of research relevant to one or more areas of expertise of the group. Have experience in leading R&D teams. Knowledge in emerging computing architectures including heterogeneous computing and memory systems. Previous experience in an area of computing architectures such as: heterogeneous computing architectures, neuromorphic computing, cryogenic computing, analog computing, silicon photonics, carbon-nanotube based devices, or alternative memory devices. Letters Preferred Qualifications: Desire to take initiative on research insights to bring them to fruition through publication or demonstration on mission applications. Excellent social skills, oral and written communication skills, and strong personal motivation. Growing in a dynamic, interdisciplinary team. Expertise, experience, and relationships with one or more of the customer stakeholder communities for this group. Experience crafting and executing strategies as part of a cohesive leadership team. Experience recruiting, hiring, and mentoring, staff members. Special Requirements: Letters of Recommendation: Three letters of recommendation may be requested during the selection process. At the appropriate time, ORNL Recruiting will contact you directly to make the request.
Company DescriptionAs a U.S. DOE Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that champion diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are essential for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.
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2023-10-19
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
High Performance Computing Systems Administrator
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BAE Systems Inc.
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Saratoga Springs, UT
DescriptionJob Description
Unlock the Power of Supercomputing: Join BAE Systems-One of the Leading Service Providers of HPCs.

Contribute to one of our longest running programs where we orchestrate the support and sustainment of some of the world’s largest and most advanced supercomputers.

We are more than just gatekeepers, we are the vanguard of support for the modern warfighter. Our dynamic and ever evolving teams are searching for exceptional individuals who yearn for a flexible work-life environment, thrive on pushing the limits of computational possibilities, and are driven by a sense of duty to empower those who serve our nation.

We are seeking HPC Systems Administrators to:
Support a large client-server based IT enterprise in installation, configuration, and networking of Linux and Windows based platforms.
Oversee servers running Red Hat, CentOS, SolarisX64, SuSe, Virtual Appliances, with direct attached and FC SAN storage.
Troubleshoot PXE and DHCP boot process
Perform Microsoft Exchange Policy management, mailbox management, enterprise-leve, multi-site design and architecture
Support Tier 3 Infrastructure services such as: DNS, NIS, Active Directory, Centrify, Zenoss, SiteScope, HP Openview, HP Oneview, HPSA, HPSE, SPLUNK, Sendmail, Exchange, NetQoS, Infoblox, Nagios, HP Cluster Management
Install, configure, tune and troubleshoot multi-vendor servers running numerous COTS, open source and in-house applications
RequirementsRequired Education, Experience, & Skills TS/SCI clearance with appropriate poly Ability to work onsite 100% of the time Candidates shall have a Bachelor’s Degree in Computer Science or related field and have ten (10) years of demonstrable experience in system administration and support of a large client-server based IT enterprise. Or the individual shall have five (5) years of full time computer science work that can be substituted for the Bachelor’s Degree, and have ten (10) years of demonstrable experience in system administration and support of a large client-server based IT enterprise. An industry recognized professional certification may substitute as one year experience. IAT Level II Certification Required. Experience with the following: Servers running Red Hat, CentOS, SolarisX64, SuSe, Virtual Appliances, with direct attached and FC SAN storage Large SPU, memory SMP systems and clusters with many cores Enterprise client server configurations (Group Policy, Centrify, DNS, LDAP Linux Scripting (Bash, Perl etc) Linux Logical Volume Management (LVM) Distributed Filesystems Configuration Management tools Experience troubleshooting PXE and DHCP boot process. Multi-vendor filesystems such as XFS, GPFS, and CXFS, EXT4, CIFS, NFSClustered Blade systems and associated interconnects (iSCSI, SAD, FC, TCP/IP, etc.) Advanced Red Hat/CentOS and Microsoft Windows Operating System (including Group Policy management) Microsoft Exchange policy management, mailbox management, enterprise-level multi-site design and architecture Enterprise Active Directory/Centrify Zone management (creation, update, RBAC) Tier 3 Infrastructure support for services such as DNS, NIS, Active Directory, Centrify, Zenoss, SiteScope, HP Openview, HP Oneview, HPSA, HPSE, SPLUNK, Sendmail, Exchange, NetQoS, Infoblox, Nagios, HP Cluster Management Thin client solutions based on Virtual bridges and Centrix, VPN NoMachine NX Virtual Desktop management Experience with Enterprise Virtualization products; VMWare, vSphere, vCenter, vRealize Automation, vSAN vSwitch, Distributed Switch, Console management OpenShift, Docker, Kubernetes Accepted professional certifications include a valid RHCSA or higher Red Hat certification, MCSE Installation, configuration, tuning, troubleshooting and administration of: Multi-vendor servers running numerous COTS, opensource, and in-house applications to accommodate HPC Division IT support requirements Multi-vendor servers running Red Hat of SuSe with direct attached, FC SAN storage or SSDs Distributing computing tools such as ReS, LSF, and SLURM HPC farm systems, HPC MPP clustered systems, Front End servers of Special Purpose devices (SPDs) IBM of HP Blade servers with FC/SAS/Network back end Multi-vendor filesystems such as XFS, GPFS and Lustre Pre-Factory testing, Factory testing, System integration and Acceptance testing during the purchase process of the HPS systems
Company DescriptionAbout BAE Systems Intelligence & Security BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference. Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. Our Commitment to Diversity, Equity, and Inclusion: At BAE Systems, we work hard every day to nurture an inclusive culture where employees are valued and feel like they belong. We are conscious of the need for all employees to see themselves reflected at every level of the company and know that in order to unlock the full potential of our workforce, everyone must feel confident being their best, most sincere self and be equipped to thrive. We provide impactful professional development experiences to our employees and invest in social impact partnerships to uplift communities and drive purposeful change. Here you will find significant opportunities to do meaningful work in an environment intentionally designed to be one where you will learn, grow and belong.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoc - Computer Vision (JR100557)
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Brookhaven National Laboratory
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Upton, NY
DescriptionComputational Science Initiative (CSI) is establishing BNL as a global leader in tackling the challenges of Artificial Intelligence, Quantum Computing and High-Performance Computing, building on our existing expertise, capabilities, and investments in computational science and data management, and enabling scientific discovery in large-scale experimental environments. The mission of the CSI is to provide the laboratory an umbrella for research and development activities that address the computational needs of research programs both inside and outside of BNL, bringing together computer scientists domain scientists to carry out leading edge research, convert research results into practical solutions that advance domain science and provide the necessary computing infrastructure services and training to support efficient operation.

Position Description

We are actively seeking passionate and exceptional Postdoctoral Research Associates to join our dynamic team. you will play a pivotal role in advancing scientific discovery by developing cutting-edge computer vision (CV) models. You would have opportunities to work in an interdisciplinary environment and make a meaningful impact on scientific research.

Essential Duties and Responsibilities:

Innovate and develop state-of-the-art CV algorithms.
Apply CV models on scientific (imaging) data analysis.
Publish high-quality papers in the fields of computer vision, machine learning, and domain science area
RequirementsRequired Knowledge, Skills, and Abilities: Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics or related disciplines. Solid background in machine learning techniques and practical experience in computer vision applications. Proficient programming skills and experience in one or more deep learning tools. Proven track record of publications Preferred Knowledge, Skills, and Abilities: Having any of the following is a plus: Proven record of publications in top-tier conferences/journals. Experience with state-of-the-art (visual) foundation models. Experience in large-scale deep learning systems and the ability to train models using GPU/TPU parallelization. Experience in multi-modality data analysis, e.g., image, video, text, etc. OTHER INFORMATION: Initial 2-year term appointment subject to renewal contingent on performance and funding availability BNL Policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events.
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
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2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoc - Scientific Computing (JR100591)
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Brookhaven National Laboratory
·
Upton, NY
DescriptionBrookhaven National Laboratory (BNL) is a scientific, extreme scale Data Laboratory in the U.S., New York State, Long Island. We have a lively, fast-growing data science research program at BNL, with a specific focus on the challenges presented by the analysis, interpretation, and use of data at extreme scales and in real-time. The data science program is accompanied by significant computational modeling research effort, in support of the design, planning, analysis, and interpretation of both laboratory and computer experiments and their results. The Computational Science Initiative (CSI - https://www.bnl.gov/compsci/) provides a laboratory-wide umbrella for these activities, bringing together computer scientists, applied mathematicians, and domain scientists to carry out leading-edge research, convert research results into practical solutions that advance domain science, and provide the necessary computing infrastructure services and training to support efficient operation. The position will reside within CSI’s Computing for National Security group, which conducts research on system and processor architectures for data-intensive computing, involving methods such as modeling and simulation, surrogate and reduced order modeling, optimal experimental design, uncertainty quantification, decision making under uncertainty, extreme-scale data analysis, and scientific machine learning. Many of the activities involve use of advanced computing systems at different levels of technology maturity from prototype to large-scale systems.

Position Description:

The Computing for National Security Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in computer architecture, machine learning, and scientific computing. This position offers a unique opportunity to conduct research in emerging interdisciplinary research problems at the intersection of computer architecture, machine learning, and high-performance computing (HPC) with applications in diverse scientific domains of interest to BNL and the Department of Energy (DOE). Topics of specific interest include: (i) modeling and simulation of novel domain specific accelerators and/or memory technologies; (ii) data-driven/machine-learning-based modeling and simulation technologies and tools. The position includes access to world-class HPC resources. such as the BNL’s Advanced Computing Laboratory and other computational resources, and DOE leadership computing facilities. Access to these platforms will allow computing at scale and will ensure that the successful candidate will have the necessary resources to solve challenging DOE problems of interest.

This program provides full support for a period of two years at BNL with possible extension. Candidates must have received a doctorate in computer science, computer engineering, or a related field (e.g., electrical engineering, physics) awarded within the last 5 years. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary.

Essential Duties and Responsibilities:

Design and carry out original research in modeling and simulation of novel domain specific accelerators and/or memory technologies for scientific computing and/or emerging device technologies.
Research and implement new solutions for resilient computing in distributed, data-intensive workflows in use at leading DOE experimental facilities.
Develop, implement, and utilize data-driven/machine-learning-based approaches for computer system modeling and simulation.
Collaborate with scientists within and outside of Brookhaven National Laboratory.
Develop research ideas into actionable research strategies and programs.
Present research progress and outcome at internal meetings and external conferences/workshops.
Publish research findings in peer-reviewed journals or conference proceedings.
RequirementsRequired Knowledge, Skills, and Abilities: Ph.D. in computer science, computer engineering, or a related field (e.g., electrical engineering, physics) awarded within the last 5 years. Strong knowledge and experience in modeling and/or simulation of domain specific accelerators, memory technologies, GPUs, and/or CPUs. Excellent research skills (e.g., evidenced by publication records in related fields) and strong research self-motivation. Effective interpersonal and written communication skills. The ability to work in a collaborative environment with researchers from different scientific disciplines. Preferred Knowledge, Skills, and Abilities: Experience in machine learning. Experience in scientific computing or modeling. Experience in microprocessor or system design Excellent programming skills, including for parallel systems Other Information: BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years.
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
·
·
2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Research Software Engineer - Neutron Sciences
·
Oak Ridge National Laboratory
·
Oak Ridge, Tennessee
DescriptionOverview:
We invite applications for the position of Research Software Engineer who will focus on designing, developing and deploying data reduction and data analysis software for the neutron science community at ORNL’s High Flux Isotope Reactor (HFIR) and the Spallation Neutron Source (SNS). This position resides in the Software Engineering Group within the Computer Science and Mathematics Division.

Our group focuses on engineering the next generation of high-quality scientific software. We innovate and encourage the next generation of cutting-edge scientific software, thus enabling Oak Ridge National Laboratory (ORNL) to host the world’s best-in-class scientific software engineering group and transform science with software-defined solutions that are reliable, usable, and trustworthy.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

Major Duties/Responsibilities:
Partner with scientific and technical staff in both CSMD and the Neutron Scattering Division to evaluate and optimize the software development practices of the group, and ensure success of the project.
Participate in the planning and major development efforts on scientific software projects for neutron techniques in the areas of diffraction, engineering diffraction, imaging, reflectometry, small-angle scattering, and spectroscopy.
Collaborate on proposals related to the neutron sciences, and on proposals in computing that support better software and infrastructure for the neutron sciences.
Coordinate, lead, and act as a representative of the Laboratory in international collaborations related to scattering software.
Work closely with partners to meet their software requirements, address bugs, and achieve their scientific goals.
Act as a mentor for project members, junior staff, post-graduates, and students to help them grow.

Basic Qualifications:
A minimum of a BS degree in computer science or physics and 3+ years of software engineering experience outside of degree.
Experience with C++ and Python
Experience with version control, containers, and continuous integration/continuous deployment (CI/CD)

Preferred Qualifications:
MS or PhD preferred.
5+ years of experience in addition to the degree.
Experience developing software at a neutron user facility, synchrotron light source or other large-scale experimental physics project or user facility is preferred.
Experience with PyQT or PySide.
Experience with modern software practices such as test-driven development, Agile software development practices and a firm, proven knowledge of software development lifecycles.
The ability to work on a team in a dynamic group environment as the team meets daily, practices continuous integration, collaborates on the source code and has regular deadlines as part of an Agile-based development process.
Activity within the broader open-source software community.

Code Sample:
An open-source code sample or coding exercise used for evaluation purposes will be required later in the application process. Your code sample should be related in some way to the subject of this post. It should be object-oriented, contain five or more classes, show a sophisticated understanding of the project and be your sole work to a very high degree (>95%). Code samples will need to be made available on GitHub or a similar sharing platform.

Special Requirements:
Please submit three reference names with contact information when applying to this position. You may upload these directly to your application or have them sent to recruiting@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:
Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position; however the position will require this individual to be located in the Knoxville/Oak Ridge, TN area. This position is not 100% remote eligible.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.
·
·
2023-12-19
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoc - Computational Science (JR100588)
·
Brookhaven National Laboratory
·
Upton, NY
DescriptionThe Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a postdoc researcher position in emerging technology and scientific computing. This position offers a unique opportunity to develop scientific software for emerging technology and high-performance computing (HPC) with applications in diverse scientific domains of interest to BNL and the Department of Energy (DOE). Topics of specific interest include: (i) developing novel distributed / federated machine learning (ML) algorithms, (ii) secure computing including blockchain, (iii) improving communication framework for edge computing and HPC, and (iv) implementing analytical algorithms to improve DOE applications on edge and HPC. The position includes access to world-class HPC resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale and will ensure that the successful candidate will have the necessary resources to solve challenging DOE problems of interest.

Essential Duties and Responsibilities:

Develop scientific software
Develop and implement ML algorithms for scientific applications
Work in interdisciplinary collaborations with applied domain scientists on various aspects of scientific data generation, processing, and analysis
Formulate own high-quality research ideas and directions in collaboration with mentors in the group
Communicate research progress, challenges and achievements, and engage within and beyond the group on new potential collaborations
RequirementsRequired Knowledge, Skills, and Abilities: PhD in computer science, software engineering, or a related field awarded within the last 5 years Proficient in software developing Understanding of AI/ML and experience in developing / applying AI/ML in the research community Experience in implementing ML algorithms on ML platforms (i.e. PyTorch, TensorFlow, JAX, DeepSpeed, etc) Preferred Knowledge, Skills, and Abilities: Experience in parallel and distributed computing / training Edge computing Blockchain Message-oriented middleware Other: BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events Initial two-year term appointment subject to renewal for up to five years contingent on performance and funding Candidate should submit a cover letter, CV, and contact information for three references to be considered This is a fully onsite position located at BNL
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
·
·
2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Post-Doc Research Associate
·
Renaissance Computing Institute (RENCI)
·
Hybrid - Chapel Hill, NC
DescriptionThe Renaissance Computing Institute at The University of North Carolina at Chapel Hill seeks to fill one postdoctoral opening for a NOAA-funded project that will develop statistical and other approaches to project coastal storm surge assessments into future current climate scenarios. The successful candidate will be expected to conduct simulations on high-performance computers, develop new and modify existing input datasets, and develop approaches for projecting current climate assessments for storm surge into future climate scenarios. The postdoctoral associate will write technical reports and scientific papers to present research results and assist in developing proposals for external funding. The position is renewed on an annual basis, for a minimum of 2 years, based on satisfactory performance
RequirementsCandidates must have a doctoral degree from an accredited institution in physical oceanography, climate science, or a related science or engineering discipline. Must have an interest in coastal hazards and risk, numerical modeling and methods, and data analysis. A successful candidate will have: (1) a strong quantitative and analytic background, (2) strong programming skills in Fortran and Python or Matlab, and (3) effective communication skills with an ability to work within a multi-disciplinary research team. Knowledge and experience with numerical modeling applications with the ADCIRC storm surge and wind-wave model is preferred.
Company DescriptionAt the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data. We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll: -Spend your time solving the interesting and unique problems of research and development. -Shape your future through experimentation and unfettered access to premier education and research. -Make connections to people and projects that ignite your passion We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
HPC Storage Systems Administrator - Maryland
·
BAE Systems Inc.
·
Annapolis, Junction, MD
DescriptionJob Description
BAE Systems, a top-ten prime contractor to the U.S. Department of Defense, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers.

We are seeking an HPC Storage Systems Administrator to provide system administration and support of a large client-server based IT enterprise.

In this position you will provide installation, configuration and networking of Unix and NT based platforms. This will include:
creating, modifying and deleting user accounts
performing system back-ups and maintaining system configuration files
installation and configuration of hardware, operating systems, and commercial software packages
developing and implementing enterprise backup/recovery strategies, server configuration and consolidation, and verification of the health and status of the entire IT infrastructure.
Support for enterprise services such as DNS, NFS, e-mail services, security protection mechanisms, and the interoperability of UNIX and NT based systems.
RequirementsRequired Education, Experience, & Skills TS/SCI clearance with appropriate poly. Must be willing to work on site 100% of the time. Bachelor’s Degree in Computer Science or related field and ten (10) years of demonstrable experience in system administration and support of a large client-server based IT enterprise. Or five (5) years of full time computer science work that can be substituted for the Bachelor’s Degree, and ten (10) years of demonstrable experience in system administration and support of a large client-server based IT enterprise. An industry recognized professional certification may substitute as one year experience. Experience shall include installation, configuration, and networking of UNIX and/or NT based platforms. This experience shall include: creating, modifying and deleting user accounts, performing system back-ups, and maintaining system configuration files. Individual shall have a fundamental understanding of operating systems ad be familiar with either UNIX or NT commands or utilities at the user level. Experience shall include the installation and configuration of hardware, operating systems, and commercial software packages. Individual shall be able to develop and implement enterprise backup/recovery strategies, server configuration and consolidation, and verification of the health and status of the entire IT infrastructure. Individual shall be able to provide support for enterprise services such as DNS, NFS, e-mail services, security protection mechanisms, and the interoperability of UNIX and NT based systems. In addition to the above qualifications, candidates should have the following qualifications: SGI IRIX based operating system SGI systems with direct attached and FC SAN attached storage Network Appliance clustered servers with direct attached and FC SAN storage Network Appliance and SGI IRIX supported applications Multivendor clustered filesystems such as GPFS, Lustre Brocade FC switch network Enterprise class arrays Solid State Disk (SSD) NFS/CIFS based server/storage appliance HPSE Data Domain and similar deduplication products Cloud based storage solutions such as HADOOP, and IBM BigInsights Trouble ticket management utilizing Remedy *IAT Level II Certification Required*
Company DescriptionAbout BAE Systems Intelligence & Security BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference. Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. Our Commitment to Diversity, Equity, and Inclusion: At BAE Systems, we work hard every day to nurture an inclusive culture where employees are valued and feel like they belong. We are conscious of the need for all employees to see themselves reflected at every level of the company and know that in order to unlock the full potential of our workforce, everyone must feel confident being their best, most sincere self and be equipped to thrive. We provide impactful professional development experiences to our employees and invest in social impact partnerships to uplift communities and drive purposeful change. Here you will find significant opportunities to do meaningful work in an environment intentionally designed to be one where you will learn, grow and belong.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoc - Scientific Computing (JR100522)
·
Brookhaven National Laboratory
·
Upton, NY
DescriptionBrookhaven National Laboratory (BNL) is a scientific, extreme scale Data Laboratory in the U.S., New York State, Long Island. We have a lively, fast-growing data science research program at BNL, with a specific focus on the challenges presented by the analysis, interpretation, and use of data at extreme scales and in real-time. The data science program is accompanied by significant computational modeling research effort, in support of the design, planning, analysis, and interpretation of both laboratory and computer experiments and their results. The Computational Science Initiative (CSI - https://www.bnl.gov/compsci/) provides a laboratory-wide umbrella for these activities, bringing together computer scientists, applied mathematicians, and domain scientists to carry out leading-edge research, convert research results into practical solutions that advance domain science, and provide the necessary computing infrastructure services and training to support efficient operation.

The position will reside within CSI’s Computing for National Security group, which conducts research on system and processor architectures for data-intensive computing, involving methods such as modeling and simulation, surrogate and reduced order modeling, optimal experimental design, uncertainty quantification, decision making under uncertainty, extreme-scale data analysis, and scientific machine learning. Many of the activities involve use of advanced computing systems at different levels of technology maturity from prototype to large-scale systems.

The Computing for National Security Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in computer architecture, machine learning, and scientific computing. This position offers a unique opportunity to conduct research in emerging interdisciplinary research problems at the intersection of computer architecture, machine learning, and high-performance computing (HPC) with applications in diverse scientific domains of interest to BNL and the Department of Energy (DOE). Topics of specific interest include: (i) modeling and simulation of novel domain specific accelerators and/or memory technologies; (ii) data-driven/machine-learning-based modeling and simulation technologies and tools. The position includes access to world-class HPC resources. such as the BNL’s Advanced Computing Laboratory and other computational resources, and DOE leadership computing facilities. Access to these platforms will allow computing at scale and will ensure that the successful candidate will have the necessary resources to solve challenging DOE problems of interest.

This program provides full support for a period of two years at BNL with possible extension. Candidates must have received a doctorate in computer science, computer engineering, or a related field (e.g., electrical engineering, physics) awarded within the last 5 years. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary.

Essential Duties and Responsibilities:

Design and carry out original research in modeling and simulation of novel domain specific accelerators and/or memory technologies for scientific computing and/or emerging device technologies.
Research and implement new solutions for resilient computing in distributed, data-intensive workflows in use at leading DOE experimental facilities.
Develop, implement, and utilize data-driven/machine-learning-based approaches for computer system modeling and simulation.
Collaborate with scientists within and outside of Brookhaven National Laboratory.
Develop research ideas into actionable research strategies and programs.
Present research progress and outcome at internal meetings and external conferences/workshops.
Publish research findings in peer-reviewed journals or conference proceedings.
RequirementsRequired Knowledge, Skills, and Abilities: Ph.D. in computer science, computer engineering, or a related field (e.g., electrical engineering, physics) awarded within the last 5 years. Strong knowledge and experience in modeling and/or simulation of domain specific accelerators, memory technologies, GPUs, and/or CPUs. Excellent research skills (e.g., evidenced by publication records in related fields) and strong research self-motivation. Effective interpersonal and written communication skills. The ability to work in a collaborative environment with researchers from different scientific disciplines. ​ Preferred Knowledge, Skills, and Abilities: Experience in machine learning. Experience in scientific computing or modeling. Experience in microprocessor or system design Excellent programming skills, including for parallel systems ​ Other Information: BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years.
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
·
·
2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
HPC Storage Systems Administrator - Utah
·
BAE Systems Inc.
·
Saratoga Springs, UT
DescriptionJob Description
BAE Systems, a top-ten prime contractor to the U.S. Department of Defense, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers.

We are seeking an HPC Storage Systems Administrator to provide system administration and support of a large client-server based IT enterprise.

In this position you will provide installation, configuration and networking of Unix and NT based platforms. This will include:
creating, modifying and deleting user accounts
performing system back-ups and maintaining system configuration files
installation and configuration of hardware, operating systems, and commercial software packages
developing and implementing enterprise backup/recovery strategies, server configuration and consolidation, and verification of the health and status of the entire IT infrastructure.
Support for enterprise services such as DNS, NFS, e-mail services, security protection mechanisms, and the interoperability of UNIX and NT based systems.
RequirementsRequired Education, Experience, & Skills TS/SCI clearance with appropriate poly. Must be willing to work on site 100% of the time. Bachelor’s Degree in Computer Science or related field and ten (10) years of demonstrable experience in system administration and support of a large client-server based IT enterprise. Or five (5) years of full time computer science work that can be substituted for the Bachelor’s Degree, and ten (10) years of demonstrable experience in system administration and support of a large client-server based IT enterprise. An industry recognized professional certification may substitute as one year experience. Experience shall include installation, configuration, and networking of UNIX and/or NT based platforms. This experience shall include: creating, modifying and deleting user accounts, performing system back-ups, and maintaining system configuration files. Individual shall have a fundamental understanding of operating systems ad be familiar with either UNIX or NT commands or utilities at the user level. Experience shall include the installation and configuration of hardware, operating systems, and commercial software packages. Individual shall be able to develop and implement enterprise backup/recovery strategies, server configuration and consolidation, and verification of the health and status of the entire IT infrastructure. Individual shall be able to provide support for enterprise services such as DNS, NFS, e-mail services, security protection mechanisms, and the interoperability of UNIX and NT based systems. In addition to the above qualifications, candidates should have the following qualifications: SGI IRIX based operating system SGI systems with direct attached and FC SAN attached storage Network Appliance clustered servers with direct attached and FC SAN storage Network Appliance and SGI IRIX supported applications Multivendor clustered filesystems such as GPFS, Lustre Brocade FC switch network Enterprise class arrays Solid State Disk (SSD) NFS/CIFS based server/storage appliance HPSE Data Domain and similar deduplication products Cloud based storage solutions such as HADOOP, and IBM BigInsights Trouble ticket management utilizing Remedy *IAT Level II Certification Required*
Company DescriptionAbout BAE Systems Intelligence & Security BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference. Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. Our Commitment to Diversity, Equity, and Inclusion: At BAE Systems, we work hard every day to nurture an inclusive culture where employees are valued and feel like they belong. We are conscious of the need for all employees to see themselves reflected at every level of the company and know that in order to unlock the full potential of our workforce, everyone must feel confident being their best, most sincere self and be equipped to thrive. We provide impactful professional development experiences to our employees and invest in social impact partnerships to uplift communities and drive purposeful change. Here you will find significant opportunities to do meaningful work in an environment intentionally designed to be one where you will learn, grow and belong.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
PhD/Senior VLSI Hardware Engineer
·
SambaNova Systems
·
Palo Alto, CA
DescriptionIf you recently graduated or will graduate within the upcoming academic year with your PhD and are interested in full-time hardware engineering opportunities within VLSI, please apply at https://grnh.se/47d081724us and tell us a little about yourself! If there's a match someone will be in contact.

We have roles across:

IO

Power

DFT/Test

Physical Design

With opportunities to work on RTL, Verification, Circuits and Physical Composition within these areas.
Company DescriptionThe third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations. SambaNova Suite™ is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond. -- Annual Salary Range and Level The base salary for this position ranges from $130,000/year up to $160,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location. Benefits Summary SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 80% premium coverage for dependents and offer a Health Savings Account(HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account(FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits includes a full subscription to Headspace, access to One Medical, counseling services with an Employee Assistance Program, and much more.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoc - Computational Science and Machine Learning (JR100570)
·
Brookhaven National Laboratory
·
Upton, NY
DescriptionThe Machine Learning Group of the Computational Science Initiative at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in computational modeling and machine learning. This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE).

Topics of particular interest include: (i) first-principles modeling as applied to energy storage and (ii) scientific machine learning for accelerating simulations and analyzing data. The successful candidate will work with scientists across multiple other departments at BNL, including the Interdisciplinary Science Department, Center for Functional Nanomaterials, and National Synchrotron Light Source II.

The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale, and together with access to unique data sources, will ensure that the successful candidate has the necessary resources to solve challenging DOE problems of interest. The successful candidate will join a growing research group with diverse expertise and projects spanning the full breadth of BNL’s and the DOE’s missions.

This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary.

Essential Duties and Responsibilities:

Conduct research in electrocatalysis and chemical reaction modeling for energy storage.

Perform data analysis by applying existing machine learning methods and novel learning algorithms.

Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing, and methods evaluation.

Formulate own high-quality research ideas and directions in collaboration with mentors in the group.

Communicate research progress, challenges, and achievements, and engage within and beyond the group on new potential collaborations.
RequirementsRequired Knowledge, Skills, and Abilities Ph.D. in chemistry, computational/theoretical chemistry, condensed matter physics, materials science, or a related field (e.g., chemical, or mechanical engineering) awarded within the last 5 years. Strong research experience (e.g., evidenced by publication record). Research experience in computational modeling. Preferred Knowledge, Skills, and Abilities: Experience with running first-principles simulations. Experience in energy storage-related research. Strong expertise in first-principles modeling for heterogeneous electrocatalysis, including thermodynamics and kinetics of reaction energetics. Excellent programming skills. Practical experience working with machine learning models. Experience working in multidisciplinary collaborations. Experience with synchrotron characterization data analysis, such as small angle X-ray scattering. Other Detail: Initial 2-year term appointment subject to renewal contingent on performance and funding. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events. This is a fully onsite position located at BNL.​ ​
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
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2023-10-19
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Assistant/Associate Computational Scientist (JR100603)
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Brookhaven National Laboratory
·
Upton, NY
DescriptionThe Machine Learning Group within Brookhaven National Laboratory’s Computational Science Initiative (CSI) invites exceptional candidates to apply for an Assistant/Associate Computational Scientist (RS3/4) position focused on machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development of deep learning ML models and adaptation of existing ones for scientific and security applications; ML models for natural language processing (NLP) and computer vision (CV), e.g., Large Language Models (LLMs) and multi-modal, multitask Foundation Models; and techniques supporting stakeholders and end users of applied ML methods, such as uncertainty quantification (UQ), interpretability and explainability for artificial intelligence (XAI), and responsible AI.

This position provides access to world-class computing and data resources, such as Brookhaven Lab’s Institutional Cluster and DOE leadership computing facilities. These platforms afford computing at scale, as well as access to unique data sources, ensuring the successful candidate will have the necessary tools to tackle challenging DOE problems of interest. In addition, the successful candidate will join a growing research group with diverse expertise and projects that span laboratory-level and nationally concerned DOE missions. This research staff position presents a distinct opportunity to conduct interdisciplinary collaborative research at Brookhaven Lab with a highly competitive salary.

Position Description:

Essential Duties and Responsibilities:

Develop novel algorithms and solutions and contribute to project success.
Disseminate research findings in publications, posters, project reports, presentations, and other related media.
Conceptualize and promote new research ideas.
Effectively communicate with team members and collaborators from other scientific domains within and beyond Brookhaven Lab.
May function as a technical leader role in a large project or a project leader role in small projects.
May need to coordinate efforts within a large project or among multiple small projects.
May contribute to or lead preparing funding proposals.
RequirementsRequired Knowledge, Skills, and Abilities: Bachelor’s degree and eight or more (8+) years of experience or Master’s degree and six or more (6+) years of experience or Doctorate and two or more (+2) years post-PhD; experience in computer science or related fields (e.g., applied mathematics, statistics, physics). A strong publication track record. Excellent programming skills and computer science knowledge. Familiar with deep learning libraries. Effective written and oral communication capabilities. Ability to work closely and effectively with researchers from different backgrounds. Preferred Knowledge, Skills, and Abilities: Bachelor’s degree and twelve or more (12+) years of experience or Master’s degree and nine or more (9+) years of experience or Doctorate and six or more (6+) years post-PhD; experience in computer science or related fields (e.g., applied mathematics, statistics, physics). Experience in preparing proposals and project management. Experience working as part of multidisciplinary scientific collaborations. Research experience in large language models and/or computer vision models. Knowledge about large-scale model training in a distributed environment. Commitment to responsible AI (e.g., robust learning, explainable AI, uncertainty quantification, reproducible and trustworthy AI).
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
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2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Deputy Director - Computational Science Initiative (JR100483)
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Brookhaven National Laboratory
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Upton, NY
DescriptionEstablished in 2016 at Brookhaven National Laboratory, the Computational Science Initiative (CSI), has secured its position among leading computer science research organizations while maintaining its “start-up” atmosphere of innovation and flexibility in shaping its direction. Continuously growing throughout its past seven years, CSI works with a broad set of sponsors on a range of exciting computer science, applied math, and computational science topics.

Responsible AI for use in consequential decision-making applications, next-generation digital twins, and award-winning extreme-scale workflow infrastructures are only a sampling of our research focus areas inspired by the world-leading experimental facilities found only at Brookhaven Lab. Now, we are seeking a deputy director who shares our commitment to excellence in science, innovation, and teamwork in multidisciplinary settings and is excited to help shape our future. You should be a leader engaged in your own research and demonstrate a proven track record of helping others fulfill their research ambitions.

Management experience has enabled you to easily build new relationships and networks of colleagues, collaborators, and sponsors by communicating your visions convincingly to a range of audiences. At CSI, you will find a welcoming, diverse, and inclusive team that is looking forward to hearing your ideas for its future and will support making them a reality.

Note: This is an on-site position eligible for consideration of a flexible work arrangement at the discretion of the Director

Support the Director of the Computational Science Initiative in providing scientific leadership for the development, implementation, and execution of CSI’s research programs.

Support the Director of the Computational Science Initiative in leading computer science and applied mathematics research for the Laboratory, including the development and implementation of scientific strategies to sustain national and international prominence, helping to ensure that CSI’s programs are meeting client needs.

Fulfill programmatic and program manager roles for the Laboratory in computer science and applied mathematics research by developing research programs and strategic partnerships with other national laboratories, colleges and universities, other research institutions, and public and private corporations.

Strengthen existing research programs, develop new programs, and drive strategic initiatives for the organization. Work with the Director of the Computational Science Initiative to identify and implement strategic research opportunities, including Laboratory-Directed Research and Development (LDRD) priorities.

Maintain compliance with Laboratory policies, standards, and procedures as documented in Standards-Based Management System (SBMS). Implement operational standards to meet the expectations of the Laboratory Agenda.

Support the Director of the Computational Science Initiative in identifying staff and other resource requirements. Support recruiting initiatives in diversity, fellowships, and university relations. Serve as primary contact with assigned core university. Promote educational outreach programs.

Establish a personal research program in a computer science or mathematics domain related to CSI’s mission.
RequirementsPh.D. in Computer Science, Applied Mathematics, or equivalent experience with 20+ years of broad related experience in conducting and managing recognized leading research programs related to the Department of Energy (DOE) in large, multidisciplinary research organizations. Proven track record in building leading research programs, including strategy development, attracting leading researchers, building partnerships, gaining funding, successful delivery, and gaining peer recognition. Experience in successfully communicating with key stakeholders (specifically DOE’s Office of Advanced Scientific Computing Research), clients, program sponsors, and internal staff. Regarded as a leading researcher in a field of computer science and applied mathematics related to data-driven discovery, including high-performance streaming data analysis algorithms, workflows, programming models, runtime systems, storage and I/O (input/output) systems, and performance modeling. Currently a principal investigator of a substantial portfolio of research projects related to computer science or applied mathematics related to data-driven discovery. Other Information: The ability to obtain and maintain a DOE “Q” security clearance is required. Moderate domestic and foreign travel ERAP Eligible (employee award for successful referral $1K)
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Laboratory's 2,500-plus staff members lead and support diverse research teams that address the DOE mission to ensure the nation's security and prosperity by addressing its energy, environmental, and nuclear challenges through transformative science and technology solutions. Among Brookhaven Lab’s current initiatives are nuclear science, energy science, data science, particle physics, accelerator science and technology, quantitative plant science, and quantum information science. Brookhaven Lab staff are entrusted by DOE on the nation's behalf to safely build and operate facilities that house unique tools used by interdisciplinary teams comprising researchers from Brookhaven as well as those from other national labs, academia, and industry. In fiscal year 2018, the Laboratory attracted 5,374 facility users and guest researchers from all 50 states and countries around the world. The Laboratory offers robust STEM education and workforce development programs that draw more than 30,000 participants annually. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
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·
2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoc - Machine Learning (JR100553)
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Brookhaven National Laboratory
·
Upton, NY
DescriptionThe Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) novel development of deep learning ML models and adaptation of existing ones for scientific and security applications; (ii) ML models for natural language processing (NLP), including Large Language Models (LLMs) and multi-modal, multi-task Foundation Models; and (iii) techniques supporting stakeholders and end-users of applied ML methods, including uncertainty quantification (UQ), interpretability and explainability (XAI), and visualization techniques.

The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale, and together with access to unique data sources, will ensure that the successful candidate has the necessary resources to solve challenging DOE problems of interest. The successful candidate will join a growing research group with diverse expertise and projects spanning the full breadth of BNL’s and the DOE’s missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary.

Essential Duties and Responsibilities:

Conduct research in ML and NLP for various problems relating to scientific discovery, workflow acceleration, and national security.
Implement, adapt, and evaluate ML and NLP algorithms for scientific and security applications.
Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing, and methods evaluation.
Formulate own high-quality research ideas and directions in collaboration with mentors in the group.
Communicate research progress, challenges and achievements, and engage within and beyond the group on new potential collaborations.
RequirementsRequired Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning-based machine learning or natural language processing. Strong research experience (e.g. evidenced by publication record). Excellent programming and computer science skills. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel ML or NLP algorithms and models, and/or applying such models to scientific or security problems. Experience working in multidisciplinary collaborations. OTHER INFORMATION: Initial 2-year term appointment subject to renewal contingent on performance and funding BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events This is a fully onsite position located at BNL in Upton, NY
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
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·
2023-10-16
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
PhD/Senior Machine Learning Engineer
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SambaNova Systems
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Palo Alto, CA
DescriptionThe ML team is responsible for driving innovation in models and algorithms that run on the SambaNova platform. This scope encompasses cutting edge applied research as well as productizing, deploying, and designing deep learning applications.

You will be responsible for:

Enabling deep learning models in computer vision and natural language processing on SambaNova hardware.

Staying in touch with state of the art research and providing feedback on technical decisions within the team.

Maintaining quality software and working on a project end-to-end. You will be expected to run deep learning experiments as well as productize your code for customer deployment.
RequirementsBasic Qualifications PhD degree in engineering or science fields 2-4 years of hands-on engineering experience in machine learning Experience in Python and/or C++ Experience with one or more deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano Familiarity with working in a SW engineering team, and using productivity tools such as Git and Docker Experience debugging neural network behavior in a research environment. Demonstrating good experimental hygiene and analysis Clear communicating your work to subject matter experts, as well as communicating to members outside of the team -- Additional Required Qualifications A deep theoretical or empirical understanding of deep learning Experience building and deploying machine learning models Strong analytical and debugging skills -- Preferred Qualifications Experience working in a high-growth startup A team player who demonstrates humility Action-oriented with a focus on speed & results Ability to thrive in a no-boundaries culture & make an impact on innovation
Company DescriptionThe third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations. SambaNova Suite™ is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond. -- Annual Salary Range and Level The base salary for this position ranges from $140,000/year up to $165,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location. Benefits Summary SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 80% premium coverage for dependents and offer a Health Savings Account(HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account(FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits includes a full subscription to Headspace, access to One Medical, counseling services with an Employee Assistance Program, and much more.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Design Verification Engineer
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SambaNova Systems
·
Palo Alto, CA OR Austin, TX
DescriptionSambaNova Systems is looking for talented and motivated engineers to help us solve some of the most challenging problems in machine learning, artificial intelligence, and data analytics. As a Design Verification Engineer you'll have the opportunity to contribute to our cutting edge machine learning chips.

Responsibilities

Develop and maintain test-bench components, test cases, and scripts for design verification at the block, full chip, system, and gate-level benches

Develop test plan for functional, performance, and post-silicon verification

Participate in mapping and coding ML and AL application flows for verification and compiler development

Participate in design verification reviews, maintain regressions, and drive failure root-cause

Collaborate with design, architecture, and software teams to innovate and solve problems
RequirementsQualifications: BS in EE/CS (or related discipline). MS/PhD preferred. Understanding of one or more of the following domains (Computer architecture, Machine Learning architecture) Curriculum covers all or several of the following subjects (Computer architecture, Machine learning algorithms, VLSI, Digital Design, SoC) Strong in coding with System Verilog and scripting. SVA and C/C++ skills preferred. Strong debugging, analytical, and communication skills Strong collaborator as we believe in no boundaries and collaboration across the entire organization with access to all levels and departments Internship or research experience on ASIC development preferred Knowledge of standard verification methodologies such as VMM, OVM, or UVM preferred
Company DescriptionThe third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations. SambaNova Suite™ is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond. -- Annual Salary Range and Level The base salary for this position ranges from $120,000/year up to $160,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location. Benefits Summary SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 80% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits includes a full subscription to Headspace, access to One Medical, counseling services with an Employee Assistance Program, and much more.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
High Performance Computing Systems Administrator - Maryland
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BAE Systems Inc.
·
Annapolis, Junction, MD
DescriptionJob Description
Unlock the Power of Supercomputing: Join BAE Systems-One of the Leading Service Providers of HPCs.

Contribute to one of our longest running programs where we orchestrate the support and sustainment of some of the world’s largest and most advanced supercomputers.

We are more than just gatekeepers, we are the vanguard of support for the modern warfighter. Our dynamic and ever evolving teams are searching for exceptional individuals who yearn for a flexible work-life environment, thrive on pushing the limits of computational possibilities, and are driven by a sense of duty to empower those who serve our nation.

We are seeking HPC Systems Administrators to:
Support a large client-server based IT enterprise in installation, configuration, and networking of Linux and Windows based platforms.
Oversee servers running Red Hat, CentOS, SolarisX64, SuSe, Virtual Appliances, with direct attached and FC SAN storage.
Troubleshoot PXE and DHCP boot process
Perform Microsoft Exchange Policy management, mailbox management, enterprise-leve, multi-site design and architecture
Support Tier 3 Infrastructure services such as: DNS, NIS, Active Directory, Centrify, Zenoss, SiteScope, HP Openview, HP Oneview, HPSA, HPSE, SPLUNK, Sendmail, Exchange, NetQoS, Infoblox, Nagios, HP Cluster Management
Install, configure, tune and troubleshoot multi-vendor servers running numerous COTS, open source and in-house applications
RequirementsRequired Education, Experience, & Skills TS/SCI clearance with appropriate poly Ability to work onsite 100% of the time Candidates shall have a Bachelor’s Degree in Computer Science or related field and have ten (10) years of demonstrable experience in system administration and support of a large client-server based IT enterprise. Or the individual shall have five (5) years of full time computer science work that can be substituted for the Bachelor’s Degree, and have ten (10) years of demonstrable experience in system administration and support of a large client-server based IT enterprise. An industry recognized professional certification may substitute as one year experience. IAT Level II Certification Required. Experience with the following: Servers running Red Hat, CentOS, SolarisX64, SuSe, Virtual Appliances, with direct attached and FC SAN storage Large SPU, memory SMP systems and clusters with many cores Enterprise client server configurations (Group Policy, Centrify, DNS, LDAP Linux Scripting (Bash, Perl etc) Linux Logical Volume Management (LVM) Distributed Filesystems Configuration Management tools Experience troubleshooting PXE and DHCP boot process. Multi-vendor filesystems such as XFS, GPFS, and CXFS, EXT4, CIFS, NFSClustered Blade systems and associated interconnects (iSCSI, SAD, FC, TCP/IP, etc.) Advanced Red Hat/CentOS and Microsoft Windows Operating System (including Group Policy management) Microsoft Exchange policy management, mailbox management, enterprise-level multi-site design and architecture Enterprise Active Directory/Centrify Zone management (creation, update, RBAC) Tier 3 Infrastructure support for services such as DNS, NIS, Active Directory, Centrify, Zenoss, SiteScope, HP Openview, HP Oneview, HPSA, HPSE, SPLUNK, Sendmail, Exchange, NetQoS, Infoblox, Nagios, HP Cluster Management Thin client solutions based on Virtual bridges and Centrix, VPN NoMachine NX Virtual Desktop management Experience with Enterprise Virtualization products; VMWare, vSphere, vCenter, vRealize Automation, vSAN vSwitch, Distributed Switch, Console management OpenShift, Docker, Kubernetes Accepted professional certifications include a valid RHCSA or higher Red Hat certification, MCSE Installation, configuration, tuning, troubleshooting and administration of: Multi-vendor servers running numerous COTS, opensource, and in-house applications to accommodate HPC Division IT support requirements Multi-vendor servers running Red Hat of SuSe with direct attached, FC SAN storage or SSDs Distributing computing tools such as ReS, LSF, and SLURM HPC farm systems, HPC MPP clustered systems, Front End servers of Special Purpose devices (SPDs) IBM of HP Blade servers with FC/SAS/Network back end Multi-vendor filesystems such as XFS, GPFS and Lustre Pre-Factory testing, Factory testing, System integration and Acceptance testing during the purchase process of the HPS systems
Company DescriptionAbout BAE Systems Intelligence & Security BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference. Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. Our Commitment to Diversity, Equity, and Inclusion: At BAE Systems, we work hard every day to nurture an inclusive culture where employees are valued and feel like they belong. We are conscious of the need for all employees to see themselves reflected at every level of the company and know that in order to unlock the full potential of our workforce, everyone must feel confident being their best, most sincere self and be equipped to thrive. We provide impactful professional development experiences to our employees and invest in social impact partnerships to uplift communities and drive purposeful change. Here you will find significant opportunities to do meaningful work in an environment intentionally designed to be one where you will learn, grow and belong.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
University | Software Engineer | 2024
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Crusoe
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San Francisco, CA
DescriptionAs a Software Engineer at Crusoe, you’ll join a lean (we’re ~300 people total, but only 40 engineers), diverse, and mission-driven team building working at the forefront of distributed system technologies across cloud computing and bitcoin mining. You’ll have the opportunity to work on a range of projects across our Platform and our Cloud teams. Your expertise will be instrumental in the design and scaling of our carbon-reducing operating model, as well as the management of critical hardware, software and network components or our computing and bitcoin operations.

You’ll collaborate with other engineers to build and maintain scalable and highly available fault-tolerant distributed systems at scale, build products and tools from the ground up that will be used by customers around the world, triage bugs and solve issues in production, and work with product owners and other stakeholders to iterate on new features.

While we’re still a young company, the Class of 2024 will mark our fifth university class, so we’re accustomed to offering intimate mentorship from industry experts and plenty of opportunity for impact, responsibility, and ownership. Over the last two years, we’ve added new grads to the engineering team from Harvard, CMU, Berkeley, MIT, Stanford, Caltech, Washington, UPenn, NYU, and Brown.

If you have a passion for the energy industry, technology, environmental stewardship and innovative solutions, we want to hear from you.
RequirementsRequirements *Currently has, or is in the process of obtaining, a Bachelor's or Master's degree in Computer Science or a related field *Experience coding in an industry-standard language with at least one modern language such as Go, Rust, Java, or C++ *Computer Science fundamentals in data structures and algorithm design Nice to Have *Experience optimizing performance of large-scale, high-volume systems *Experience with writing automated tests *Familiarity with React, Typescript, ES6, WebSockets *Familiarity with modern CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Familiarity with modern infrastructure tools, such as Docker, Kubernetes, Ansible, Cloud Formation, Terraform *Familiarity with concurrency, multi-threading and synchronization *Familiarity with Unix/Linux environments *An interest in Bitcoin and other cryptocurrencies
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flared gas and underloaded renewables, to deliver low-cost, carbon-reducing distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology. Our values drive our work from thinking like a mountaineer, our relentless commitment to resource efficiency and tapping into our collective genius. At Crusoe, you will be challenged to do the best work of your entire life and to be and become your best self. Our teams are empowered to tackle hard problems that benefit our customers, grow our business and create a positive impact in reducing global emissions.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Assistant Computational Scientist (JR100654)
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Brookhaven National Laboratory
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Upton, NY
DescriptionThe High Performance Computation (HPC) group of the Computational Science Laboratory (CSL) within the Brookhaven National Laboratory (BNL) Computational Science Initiative has an immediate opening for an Assistant Computational Scientist to work in an interdisciplinary team to address computational challenges in different scientific domains. The successful candidate is expected to design, develop, and integrate novel computational techniques, including software and numerical methods for a broad range of scientific applications, including nuclear and high energy physics, chemistry, biology, biomedicine, climate, and others. Research areas of interest include, but are not limited to: 1) digital twin technologies; 2) complex multiscale simulations and modeling; 3) large-scale hybrid machine learning and high performance computing workflows; 4) tools and methods to allow productive use of modern advanced computing systems.

Essential Duties and Responsibilities:

Work in a collaborative team with computer scientists, computational scientists, applied mathematicians, and domain scientists
Perform innovative research in high performance computing, machine learning and/or quantum computing pertinent to application needs
Develop new research ideas and seek out opportunities for funding
Present results at meetings, workshops, and conferences
Publish findings at conference proceedings and/or academic journals
Lead or participate in research grant proposal writing
Mentor postdocs and students as needed
RequirementsPOSITION REQUIREMENTS Required Knowledge, Skills, and Abilities: PhD in Computational Physics/Chemistry/Biology, Computer Science/Engineering, Applied Mathematics, or a related field 2+ years of relevant research experience post PhD Established track records of performing high-caliber research in computational domains, including computational biology, computational fluid dynamics, computational physics Authored peer-reviewed publications, and presented at scientific conferences Demonstrated programming skills in C/C++, Python, Fortran or other commonly used programming languages. Experienced in the practice of high-performance computing, machine learning and/or quantum computing methodologies for scientific applications Familiar with the hardware and software environments of high-performance computing systems The ability to perform independent innovative research under minimal supervision, including the design, development, and validation of research methodologies The ability to work and communicate well within an interdisciplinary team Excellent oral and written communication skills Preferred Knowledge, Skills, and Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing and its tools, such as MPI, NCCL, and others Knowledge of complex workflow management on high performance computing systems Knowledge of the application of machine learning methodologies in scientific domains Experience of working in an interdisciplinary team with demonstrated achievements Track record of securing research funding, either as a (Co-)Principal Investigator or participant OTHER INFORMATION: Moderate domestic and international travels are expected Appointment level will be commensurate with experience and qualifications This is an on-site position located at the BNL Upton campus, with the possibility of hybrid work arrangements Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $98650 - $163750 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
·
·
2023-10-25
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Infrastructure Engineer - Hardware and Networking (Chicago)
·
Crusoe
·
Chicago, IL
DescriptionWe are looking for a Senior Infrastructure Engineer to help us shape the future of Infrastructure at Crusoe Cloud. You will have the opportunity to work on cutting edge technologies, within a world class team and build the platform that is directly used by our customers to change the world every day.

Here, you will build the cloud and not merely use it.

You will be responsible for deploying and operating a broad range of infrastructure technologies and hardware systems. You’ll lead projects to help evolve our services and participate in the architectural design of solutions.

We are looking for a motivated individual who is passionate about Linux, Open Source and networking. Someone with a deep understanding of software-hardware interactions that obsesses about low-level Linux configurations and optimizations.

Your role is to build infrastructure-as-code software and tools and use a GitOps approach to interacting and maintaining every aspect of our platform.

A Day in the Life:
*You will configure and automate on-premises Linux-based systems at scale using infrastructure-as-code practices

*You will extend open source tools to integrate distinct systems

*You will be responsible for the full lifecycle of physical systems including deployments, operations, triage and troubleshooting

*Participate in the design and build for our compute, storage and networking practices

*Work with Product and Business Development teams to inform and specify our hardware needs
RequirementsYou Will Thrive In This Role If: *Deep experience and fluency with Linux environments *Experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible, Packer and TerraformExperience with TCP/IP configurations and troubleshooting on Linux systems *Experience writing code to automate infrastructure management tasks with at least one language (Go, Python, Bash or similar) *5+ years of infrastructure management experience including bare metal server management and operating system image creation and deployments *5+ years of experience contributing to architecture, design reliability and scaling of Infrastructure systems *Familiarity with Data Center Infrastructure Management (DCIM) tools such Netbox *Experience with with on-premises Data Center operations and technologies (power distribution units, structured cabling, rack design) *Experience with CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Experience with configuring and maintaining observability stacks: logging, monitoring and alerting systems and tools such as syslog, fluentd, Prometheus, AlertManager, and Grafana *Embody the Company values
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Research Scientist, High Performance Computing and Artificial Intelligence (Hybrid Eligible)
·
Oak Ridge National Laboratory
·
Oak Ridge, Tennessee
DescriptionOverview:
Ready to apply your HPC and AI skills in a premier research institution? The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is seeking hardworking research scientists in the very broad areas of intersection of High-Performance Computing (HPC) and AI. Examples on areas of research interest include:

NLP and Foundational model pre-training, human-in-loop reinforcement learning and fine-tuning.

Performance analysis and optimization of large-scale AI/ML stack and applications including computational optimization of mixed-precision kernels, data parallelism, model-parallelism, collective communication patterns and strategies for large-scale, distributed machine learning using frameworks such as PyTorch and TensorFlow.

Operational data (Power, energy, CPU/GPU utilization, job scheduling, large scale storage and I/O traces, system logs) analytics to enable data-driven intelligence and facility innovation via novel applications of ML/AI techniques such as large-scale language model and causality analysis.

AI algorithms for handling sensitive data using methods such as Federated Learning, Differential Privacy, and Secure Multiparty Computing, among others.

Data analytics pipelines from the Edge to Exascale.

Visualization of large-scale HPC/AI discovery campaigns.

At the NCCS and its Leadership Computing Program (OLCF,) we provide world class computing facilities to applications across all computational domains and subject areas. Through this position you are able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are a diverse, dynamic environment that welcomes those with initiative and creativity.

Major Duties and Responsibilities:
Research, develop and deploy new groundbreaking tools and frameworks of scalable ML/DL on leadership computing platforms.
In collaboration with domain scientists, identify and extract ML/DL workflow, and patterns, and drive the design, development, and deployment of new scalable ML-as-service solutions.
Engage with ML academic communities to stay on top of the latest advancements in ML/DL. Author peer reviewed papers, technical papers, reports, and proposals.

Basic Qualifications:
Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. 

Preferred Requirements:
3+ years of relevant research experience outside of Ph.D.
Experience leading major projects in laboratory or academic settings.
Strong publication record and record of developing high-impact capabilities and tools.

ORNL Ethics and Conduct:
As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. A description and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity

Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain hardworking people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. 

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 

In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.
·
·
2023-11-24
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
University | Intern - Software Engineer | Summer 2024
·
Crusoe
·
San Francisco, CA
DescriptionOur values drive our work from thinking like a mountaineer, our relentless commitment to resource efficiency and tapping into our collective genius. At Crusoe, you will be challenged to do the best work of your entire life and to be and become your best self. Our teams are empowered to tackle hard problems that benefit our customers, grow our business and create a positive impact in reducing global emissions.

As a Software Engineer Intern at Crusoe, you’ll join a lean (we’re ~300 people total, but only 40 engineers), diverse, and mission-driven team building a new cloud infrastructure from the ground up and work at the forefront of distributed system technologies. You’ll have the opportunity to work on a range of projects across our Crypto Mining Platform and our Cloud platform that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.

You’ll collaborate with other engineers to build and maintain scalable and highly available fault-tolerant distributed systems at scale, build products and tools from the ground up that will be used by customers around the world, triage bugs and solve issues in production, and work with product owners and other stakeholders to iterate on new features.

While we’re still a young company, the Class of 2024 will mark our fifth university class, so we’re accustomed to offering intimate mentorship from industry experts and plenty of opportunity for impact, responsibility, and ownership. Over the last two years, we’ve added new grads to the engineering team from Harvard, CMU, Berkeley, MIT, Stanford, Caltech, Washington, UPenn, NYU, and Brown.

If you have a passion for the energy industry, technology, environmental stewardship and innovative solutions, we want to hear from you.
RequirementsRequirements *Currently has, or is in the process of obtaining, a Bachelors's or Master's degree in Computer Science or a related field *Experience coding in an industry-standard language with at least one modern language such as Go, Rust, Java, or C++ *Computer Science fundamentals in data structures and algorithm design Nice to Have *An interest in Bitcoin and other cryptocurrencies *Experience optimizing JavaScript performance of large-scale, high-volume systems *Experience with writing automated testsExperience with modern data and state technologies like GraphQL, Redux *Familiarity with React, Typescript, ES6, Webpack, WebSockets *Familiarity with modern CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Familiarity with modern infrastructure tools, such as Docker, Kubernetes, Ansible, Cloud Formation, Terraform *Familiarity with concurrency, multi-threading and synchronization *Familiarity with Unix/Linux environments
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Staff Infrastructure Engineer - Hardware and Networking (Chicago)
·
Crusoe
·
Chicago, IL
DescriptionAbout The Role

We are looking for a Senior Infrastructure Engineer to help us shape the future of Infrastructure at Crusoe Cloud. You will have the opportunity to work on cutting edge technologies, within a world class team and build the platform that is directly used by our customers to change the world every day.

Here, you will build the cloud and not merely use it.


You will be responsible for deploying and operating a broad range of infrastructure technologies and hardware systems. You’ll lead projects to help evolve our services and participate in the architectural design of solutions.

We are looking for a motivated individual who is passionate about Linux, Open Source and networking. Someone with a deep understanding of software-hardware interactions that obsesses about low-level Linux configurations and optimizations.

Your role is to build infrastructure-as-code software and tools and use a GitOps approach to interacting and maintaining every aspect of our platform.

A Day in the Life:
*You will configure and automate on-premises Linux-based systems at scale using infrastructure-as-code practices
*You will extend open source tools to integrate distinct systems
*You will be responsible for the full lifecycle of physical systems including deployments, operations, triage and troubleshooting
*Lead the design and build for our compute, storage and networking practices
*Work with Product and Business Development teams to inform and specify our hardware needs
RequirementsYou Will Thrive In This Role If: *Deep experience and fluency with Linux environments *Experience with with on-premises Data Center operations and technologies (power distribution units, structured cabling, rack design) *Experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible, and Terraform *Experience with TCP/IP configurations and troubleshooting on Linux systems *Experience writing code to automate infrastructure management tasks with at least one language (Go, Python, Bash or similar) *10+ years of infrastructure management experience including bare metal server management, deployments, and OS provisioning using tools such as Packer, Kickstart, MaaS *10+ years of experience contributing to architecture, design reliability and scaling of data center infrastructure systems *Familiarity with Data Center Infrastructure Management (DCIM) tools such Netbox *Experience with CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Experience with configuring and maintaining observability stacks: logging, monitoring and alerting systems and tools such as syslog, fluentd, Prometheus, AlertManager, and Grafana *Embody the Company values
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Staff Infrastructure Engineer - Hardware and Networking (SF)
·
Crusoe
·
San Francisco, CA
DescriptionAbout The Role

We are looking for a Senior Infrastructure Engineer to help us shape the future of Infrastructure at Crusoe Cloud. You will have the opportunity to work on cutting edge technologies, within a world class team and build the platform that is directly used by our customers to change the world every day.

Here, you will build the cloud and not merely use it.


You will be responsible for deploying and operating a broad range of infrastructure technologies and hardware systems. You’ll lead projects to help evolve our services and participate in the architectural design of solutions.

We are looking for a motivated individual who is passionate about Linux, Open Source and networking. Someone with a deep understanding of software-hardware interactions that obsesses about low-level Linux configurations and optimizations.

Your role is to build infrastructure-as-code software and tools and use a GitOps approach to interacting and maintaining every aspect of our platform.

A Day in the Life:
*You will configure and automate on-premises Linux-based systems at scale using infrastructure-as-code practices
*You will extend open source tools to integrate distinct systems
*You will be responsible for the full lifecycle of physical systems including deployments, operations, triage and troubleshooting
*Lead the design and build for our compute, storage and networking practices
*Work with Product and Business Development teams to inform and specify our hardware needs
RequirementsYou Will Thrive In This Role If: *Deep experience and fluency with Linux environments *Experience with with on-premises Data Center operations and technologies (power distribution units, structured cabling, rack design) *Experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible, and Terraform *Experience with TCP/IP configurations and troubleshooting on Linux systems *Experience writing code to automate infrastructure management tasks with at least one language (Go, Python, Bash or similar) *10+ years of infrastructure management experience including bare metal server management, deployments, and OS provisioning using tools such as Packer, Kickstart, MaaS *10+ years of experience contributing to architecture, design reliability and scaling of data center infrastructure systems *Familiarity with Data Center Infrastructure Management (DCIM) tools such Netbox *Experience with CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Experience with configuring and maintaining observability stacks: logging, monitoring and alerting systems and tools such as syslog, fluentd, Prometheus, AlertManager, and Grafana *Embody the Company values
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Assistant Computational Scientist (JR100626)
·
Brookhaven National Laboratory
·
Upton, NY
DescriptionThe High Performance Computation (HPC) group of the Computational Science Laboratory (CSL) at the BNL Computational Science Initiative has an immediate opening for an Assistant Computational Scientist to work in an interdisciplinary team to address computational challenges in different scientific domains. The successful candidate is expected to design, develop, and integrate novel computational techniques, including software and numerical methods for a broad range of scientific applications, including nuclear and high energy physics, chemistry, biology, biomedicine, climate, and others. Research areas of interest include, but are not limited to: 1) digital twin technologies; 2) complex multiscale simulations and modeling; 3) large-scale hybrid machine learning and high performance computing workflows; 4) tools and methods to allow productive use of modern advanced computing systems.

The position will be initially for two years, with the possibility of an extension contingent on the availability of funding and satisfactory job performance.

Essential Duties and Responsibilities:

Work in a collaborative team with computer scientists, computational scientists, applied mathematicians, and domain scientists
Perform innovative research in high performance computing, machine learning and/or quantum computing pertinent to application needs
Develop new research ideas and seek out opportunities for funding
Present results at meetings, workshops, and conferences
Publish findings at conference proceedings and/or academic journals
Lead or participate in research grant proposal writing
Mentor postdocs and students as needed
RequirementsRequired Knowledge, Skills, and Abilities: PhD in Computational Physics/Chemistry/Biology, Computer Science/Engineering, Applied Mathematics, or a related field 2+ years of relevant research experience post PhD Established track records of performing high-caliber research in computational domains, including computational biology, computational fluid dynamics, computational physics Authored peer-reviewed publications, and presented at scientific conferences Demonstrated programming skills in C/C++, Python, Fortran or other commonly used programming languages. Experienced in the practice of high-performance computing, machine learning and/or quantum computing methodologies for scientific applications Familiar with the hardware and software environments of high-performance computing systems The ability to perform independent innovative research under minimal supervision, including the design, development, and validation of research methodologies The ability to work and communicate well within an interdisciplinary team Excellent oral and written communication skills Preferred Knowledge, Skills, and Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing and its tools, such as MPI, NCCL, and others Knowledge of complex workflow management on high performance computing systems Knowledge of the application of machine learning methodologies in scientific domains Experience of working in an interdisciplinary team with demonstrated achievements Track record of securing research funding, either as a (Co-)Principal Investigator or participant OTHER INFORMATION: Moderate domestic and international travels are expected Appointment level will be commensurate with experience and qualifications This is an on-site position located at the BNL Upton campus, with the possibility of hybrid work arrangements Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $98650 - $163750 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
·
·
2023-10-23
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Research Software Engineer (JR100608)
·
Brookhaven National Laboratory
·
Upton, NY
DescriptionThe National Synchrotron Light Source-II (NSLS-II) at Brookhaven National Laboratory is seeking exceptional candidates for The Data Science and Systems Integration (DSSI) Program. This role resides in the Data Acquisition and Detectors (DAD) group, within DSSI, working to develop high-level data acquisition tools. This ranges from integrating scientific detectors with the control system to integration with the NSLS-II data management systems. This role will support both operations of current NSLS-II beamlines and the development of the next generation of beamlines from the earliest stages of development.

Essential Duties and Responsibilities:

Work collaboratively on data-oriented software projects to develop new capabilities at NSLS-II.
Develop and deploy software and share responsibility for its performance in operations.
Provide support to other scientific staff and facility users, through both teaching and troubleshooting.
RequirementsRequired Knowledge, Skills, and Abilities: Bachelor’s +8 years, Master’s +6 years, or Doctorate +2 years post-PhD, in Physical Sciences, Applied Mathematics or related field. Ability to employ sound software engineering methodologies. Demonstrated record in collaborative software development. Demonstrated experience in programming with Python. Excellent communication and interpersonal skills to be able to interact effectively with a diverse group of scientists, engineers, and technical staff. Self-motivated and able to work in a team environment. Preferred Knowledge, Skills, and Abilities: Current knowledge in high-volume scientific data collection, data management, and data analysis concepts, and/or experience as an experimental scientist. Experience managing distributed software systems. Experience with detector development and control. Data acquisition and management experience at a synchrotron light source, neutron source, particle accelerator, or other major scientific user facility. Experience contributing to community-led open-source software projects. Experience with event-driven systems. OTHER INFORMATION: The selected candidate will be placed at the appropriate level contingent upon their depth and breadth of relevant knowledge and skills. This is an on-site position eligible for consideration of flexible work arrangement (hybrid telework) at the discretion of the manager/dept chair.
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. From batteries and microelectronics to drug design and future quantum computers, scientists advance our understanding of materials every day to solve the world’s greatest challenges. However, today's problems are so complex that they require researchers to study materials with highly specialized tools that are not readily available at most institutions. That’s where the National Synchrotron Light Source II (NSLS-II) comes in. As one of the newest, most advanced synchrotron light sources in the world, NSLS-II enables its growing research community to study materials with nanoscale resolution and exquisite sensitivity by providing cutting-edge capabilities. Together with visiting researchers from all around the world, interdisciplinary teams at NSLS-II uncover the atomic structure, elemental make-up, and electronic behavior of materials. By creating this new, deeper understanding of materials, these research teams advance our knowledge in a wide range of scientific disciplines such as life sciences, quantum materials, energy storage, advanced materials science, physics, chemistry, and biology.
·
·
2023-10-25
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Research Scientist, Computational Systems Engineering
·
Oak Ridge National Laboratory
·
Oak Ridge, TN
DescriptionOverview:
Wondering where you can work on the most innovative technology in computational modeling and optimization of energy systems? As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that develop diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are essential for enabling the execution of ORNL’s broader mission to create scientific discoveries and their translation into energy, environment, and security solutions for the nation.

We are seeking engineers to conduct novel research in modeling, simulation, and control with applications to sophisticated engineered systems. This research will work towards developing novel approaches to apply novel concepts in systems model, analysis, and high-performance computing to solve difficult problems that arise when diverse technologies are integrated to solve engineering problems of national interest. A specific area of interest is “smart” energy systems that integrate communications, controls, artificial intelligence, economics, and a network of generation and load to facilitate decarbonization and improve resilience. To solve these ambitious problems, we seek an interdisciplinary team that encompasses expertise in dynamic systems, mathematical modeling, systems engineering, numerical and other simulation methods, model-based design, high performance computing, optimization, and control. We also seek relevant, domain specific knowledge energy systems, communication systems, reliability, and – most importantly - the ability to work within a diverse research environment on problems that cut across these domains. This position resides in the Systems Engineering and Cybernetics Group in the Computational Sciences & Engineering Division of the Computing & Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:
Design of novel method for the design of cyber-physical systems.
Contribute to the delivery of tools and technologies for the modeling, simulation, and analysis of sophisticated systems
Collaborate with a diverse set of domain experts to discover and solve novel problems at the intersections of research disciplines
Publish research findings in high impact journals and conferences.
Support the development of research proposals to the Department of Energy and other sponsors.

Basic Qualifications:
A PhD in Electrical Engineering, Computer Engineering, or other field relevant to the job duties.
Proven research experience in areas such as energy systems modeling, control systems, optimization, systems analysis, and/or other areas related to the research objectives.

Preferred Qualifications:
Excellent interpersonal skills for working within a highly diverse team, as well as strong oral and written communications skills, good organizational habits, and a high degree of personal motivation.
Experience with the development and analyses of domain-specific models
A publication record in leading peer-reviewed resources.
Proven analytical skills using Python, , C++ and/or other programming languages.
Experience with systems analyses techniques.

ORNL Ethics and Conduct:
As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity

Benefits at ORNL:
UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Onsite amenities include Credit Union, Medical Clinic and free Fitness facilities.

Relocation:
Moving is stressful and expensive, and UT Battelle offers a wide range of relocation benefits for individuals and families to make it easier to come and work here. If you are invited to interview, please ask your Recruiter about relocating with ORNL.
·
·
2023-11-23
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior/Staff Site Reliability Engineer
·
Crusoe
·
Chicago, IL
DescriptionOur values drive our work from thinking like a mountaineer, our relentless commitment to resource efficiency and tapping into our collective genius. At Crusoe, you will be challenged to do the best work of your entire life and to be and become your best self.



Our teams are empowered to tackle hard problems that benefit our customers, grow our business and create a positive impact in reducing global emissions. You should have a proven track record of building fast, highly available infrastructure at scale. You should have deep experience and nuanced opinions on existing cloud services and developer tools. You will be working with a highly coordinated team on the forefront of cloud and distributed system technologies.



You’ll be responsible for building and maintaining infrastructure. You’ll lead engineers technically to help evolve our services and architecture to better serve our customers. You’ll coordinate cross-functional technical projects and make sure the scope and deliverables are always on track. You’ll coordinate evaluation of tools and frameworks for the engineering team and understand implications and trade-offs of reliability, scalability, operational costs, ease of adoption by organization, and recruiting. You’ll develop and constantly refine technical and team fit assessments. You’ll mentor engineers, partner with engineering managers to take an active role in their development.
RequirementsYou Will Thrive In This Role If: *5+ years of professional SRE experience *5+ years of experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems *Bachelor's Degree in Computer Science or related field, or 8+ years relevant work experience *Solid understanding of infrastructure design, including the operational trade-offs of various designs *Experience writing high quality code with at least one programming language (Python, Go, or similar) *Experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible, Cloud Formation, Terraform *Experience building with modern CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Experience with logging, monitoring and alerting systems and tools *Experience with Unix/Linux environments *Experience with TCP/IP and network programming *Experience with information security best practices *Excellent communication skills *Embody the Company values
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Infrastructure Engineer - Hardware and Networking (SF)
·
Crusoe
·
San Francisco, CA
DescriptionWe are looking for a Senior Infrastructure Engineer to help us shape the future of Infrastructure at Crusoe Cloud. You will have the opportunity to work on cutting edge technologies, within a world class team and build the platform that is directly used by our customers to change the world every day.

Here, you will build the cloud and not merely use it.


You will be responsible for deploying and operating a broad range of infrastructure technologies and hardware systems. You’ll lead projects to help evolve our services and participate in the architectural design of solutions.

We are looking for a motivated individual who is passionate about Linux, Open Source and networking. Someone with a deep understanding of software-hardware interactions that obsesses about low-level Linux configurations and optimizations.

Your role is to build infrastructure-as-code software and tools and use a GitOps approach to interacting and maintaining every aspect of our platform.

A Day in the Life:
*You will configure and automate on-premises Linux-based systems at scale using infrastructure-as-code practices
*You will extend open source tools to integrate distinct systems
*You will be responsible for the full lifecycle of physical systems including deployments, operations, triage and troubleshooting
*Participate in the design and build for our compute, storage and networking practices
*Work with Product and Business Development teams to inform and specify our hardware needs
RequirementsYou Will Thrive In This Role If: *Deep experience and fluency with Linux environments *Experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible, Packer and Terraform *Experience with TCP/IP configurations and troubleshooting on Linux systems *Experience writing code to automate infrastructure management tasks with at least one language (Go, Python, Bash or similar) *5+ years of infrastructure management experience including bare metal server management and operating system image creation and deployments *5+ years of experience contributing to architecture, design reliability and scaling of Infrastructure systems *Familiarity with Data Center Infrastructure Management (DCIM) tools such Netbox *Experience with with on-premises Data Center operations and technologies (power distribution units, structured cabling, rack design) *Experience with CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Experience with configuring and maintaining observability stacks: logging, monitoring and alerting systems and tools such as syslog, fluentd, Prometheus, AlertManager, and Grafana *Embody the Company values
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior/ Staff Site Reliability Engineer
·
Crusoe
·
San Francisco, CA
DescriptionYou’ll be responsible for building and maintaining infrastructure. You’ll lead engineers technically to help evolve our services and architecture to better serve our customers. You’ll coordinate cross-functional technical projects and make sure the scope and deliverables are always on track. You’ll coordinate evaluation of tools and frameworks for the engineering team and understand implications and trade-offs of reliability, scalability, operational costs, ease of adoption by organization, and recruiting. You’ll develop and constantly refine technical and team fit assessments. You’ll mentor engineers, partner with engineering managers to take an active role in their development.
RequirementsYou Will Thrive In This Role If: *5+ years of professional SRE experience *5+ years of experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems *Bachelor's Degree in Computer Science or related field, or 8+ years relevant work experience *Solid understanding of infrastructure design, including the operational trade-offs of various designs *Experience writing high quality code with at least one programming language (Python, Go, or similar) *Experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible, Cloud Formation, Terraform *Experience building with modern CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Experience with logging, monitoring and alerting systems and tools *Experience with Unix/Linux environments *Experience with TCP/IP and network programming *Experience with information security best practices *Excellent communication skills *Embody the Company values
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology. Our values drive our work from thinking like a mountaineer, our relentless commitment to resource efficiency and tapping into our collective genius. At Crusoe, you will be challenged to do the best work of your entire life and to be and become your best self. Our teams are empowered to tackle hard problems that benefit our customers, grow our business and create a positive impact in reducing global emissions. You should have a proven track record of building fast, highly available infrastructure at scale. You should have deep experience and nuanced opinions on existing cloud services and developer tools. You will be working with a highly coordinated team on the forefront of cloud and distributed system technologies.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior/Staff Software Engineer - Cloud
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Crusoe
·
San Francisco, CA
DescriptionWe are looking for Senior/Staff Software engineers to help design and scale our carbon-reducing cloud computing platform. With Crusoe Cloud’s upcoming public launch, you will help us advance our storage infrastructure, virtualizing cutting edge computing hardware, and/or building out best in class networking capabilities.

You'll play a key role in evaluating tools and frameworks for the engineering team, considering reliability, scalability, operational costs, ease of adoption, and recruiting implications.

As part of your responsibilities, you'll develop and refine technical and team fit assessments, mentor engineers, and actively contribute to their development in partnership with engineering managers.
RequirementsYou Will Thrive In This Role If: * 5+ years of professional software development experience * 5+ years of programming experience with at least one modern language such as Go, Rust, Java, or C++ * 5+ years of experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems * Bachelor's Degree in Computer Science or related field, or 5-8+ years relevant work experience * Computer Science fundamentals in data structures and algorithm design * Proven experience in building and maintaining scalable and highly available fault-tolerant distributed systems and application architectures * Solid understanding of infrastructure design, including the operational trade-offs of various designs * Familiarity with modern CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions * Familiarity with modern infrastructure tools, such as Docker, Kubernetes, Ansible, Cloud Formation, Terraform * Experience in concurrency, multi-threading and synchronization * Experience with Unix/Linux environments * Experience with TCP/IP and network programming * Excellent communication skills * Embody the Company values
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology. Our values drive our work from thinking like a mountaineer, our relentless commitment to resource efficiency and tapping into our collective genius. At Crusoe, you will be challenged to do the best work of your entire life and to be and become your best self. Our teams are empowered to tackle hard problems that benefit our customers, grow our business and create a positive impact in reducing global emissions. You should have a proven track record of building fast, highly available distributed systems at scale.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior/Staff Software Engineer - Platform
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Crusoe
·
San Francisco, CA
DescriptionWe are actively seeking Senior / Staff Software Engineers for our Bitcoin mining operations team to work on our cutting-edge distributed infrastructure and tooling. Your expertise will be instrumental in the design and scaling of our carbon-reducing operating model, as well as the management of critical hardware, software and network components.

You will be expected to be heavily involved in writing and reviewing code, proposals and architecture documents. In this role, you will drive the evaluation of tools and frameworks, carefully considering their impact on reliability, scalability, operational costs, and ease of adoption.

Your keen eye for optimization will be crucial in ensuring our digital currency mining operations are at the forefront of innovation and efficiency.
RequirementsYou Will Thrive In This Role If You Have: *5+ years of professional software development experience *5+ years of programming experience with at least one modern compiled language such as Go, Rust, Java, or C++ *5+ years of experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems *Bachelor's Degree in Computer Science or related field, or 5-8+ years relevant work experience *Familiarity with the Bitcoin protocol and BTC infrastructure a big plus *Computer Science fundamentals in data structures and algorithm design *Proven experience in building and maintaining scalable and highly available fault-tolerant distributed systems and application architectures *Solid understanding of infrastructure design, including the operational trade-offs of various designs *Familiarity with modern CI/CD practices and build systems, such as GitLab CI/CD, CircleCI, GitHub Actions *Familiarity with modern infrastructure tools, such as Docker, Kubernetes, Ansible, Cloud Formation, Terraform *Experience in concurrency, multi-threading and synchronization *Experience with Unix/Linux environments *Experience with TCP/IP and network programming *Excellent communication skills *Embody the Company values
Company DescriptionCrusoe Energy is on a mission to unlock value in stranded energy resources through the power of computation. Take a look at what we do! - https://www.youtube.com/watch?v=Rlt8k71Quqw We aim to align the long term interests of the climate with the future of global computing infrastructure. As data centers consume an exponentially growing power footprint to deliver technology to all connected devices, we are inspired by making sure that the energy meeting that demand is sourced in an environmentally responsible fashion. Crusoe co-locates mobile data centers with stranded energy resources, like flare gas and underloaded renewables, to deliver low-cost, carbon-negative distributed computing solutions. Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Performance Software Engineer, Deep Learning Libraries - JR1967015
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NVIDIA
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US, CA, Santa Clara + other locations
DescriptionWe are now looking for a Senior Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel algorithms and analyzing their performance? If so, we want to hear from you! As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs. The team delivers high-performance code to NVIDIA’s cuDNN, cuBLAS, and TensorRTlibraries to accelerate deep learning models. The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence! We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our CUTLASS open-source project showcasing performant matrix multiply on NVIDIA’s Tensor Cores with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.

What you'll be doing:

Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)

Following general software engineering best practices including support for regression testing and CI/CD flows

Collaborating with teams across NVIDIA:

CUDA compiler team on generating optimal assembly code

Deep learning training and inference performance teams on which layers require optimization

Hardware and architecture teams on the programming model for new deep learning hardware features
RequirementsWhat we need to see: Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field 6+ years of relevant industry experience Demonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test design Experience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads) Solid understanding of computer architecture and some experience with assembly programming Ways to stand out from the crowd: Tuning BLAS or deep learning library kernel code CUDA/OpenCL GPU programming Numerical methods and linear algebra LLVM, TVM tensor expressions, or TensorFlow MLIR
Company DescriptionNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
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·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Developer Technology Engineer, Public Sector - New College Grad - JR1972596
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NVIDIA
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US, CA, Santa Clara
DescriptionNVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team! In this role, you will research and develop techniques to GPU-accelerate leading applications in fields targeting applications in the federal ecosystem. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.

What you will be doing:
Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development, direct contribution to the full software stack including libraries, applications, and high productivity software environments (e.g. Python).

Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity.

Occasional travel from time to time for conferences and on-site visits with developers.
RequirementsWhat we need to see: Completing a BS, MS, or PhD degree or have equivalent experience in an engineering or computer science related discipline. Programming fluency in C/C++ and/or Fortran with a deep understanding of software design, programming techniques, and algorithms. Strong mathematical fundamentals, including linear algebra and numerical methods. Experience with parallel programming, ideally CUDA C/C++ and OpenACC. Ways to stand out from the crowd: Domain expertise in data and graph analytics, signal processing, telecommunications, geographic information systems, machine learning, or deep learning. Experience working within the Federal Government and the ability to hold a US security clearance
Company DescriptionNVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer with a real passion for computer architecture? If so, we want to hear from you!
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·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Developer Technology Engineer, Computer - JR1973988
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NVIDIA
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US, CA, Santa Clara + other locations
DescriptionWe’re currently seeking a Senior Developer Technology Engineer, Compute!

Are you interested in developing techniques to accelerate large application workloads on advanced computer architectures? Do you find it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance on state-of-the-art computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

In this position, you will research and develop techniques to accelerate leading applications in high performance computing fields within scientific computing or computational engineering.

Work directly with other technical experts in their fields (industry and academia) to understand and address their computational problems as their field evolves.

Perform in-depth analysis and optimization to ensure the best possible performance on the current and next generation of NVIDIA GPUs, CPUs (Arm and x86 architectures), and/or network architectures.

Craft and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.

Guide key application developers, contribute directly to the applications, and develop reference codes and libraries.

Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

Occasional travel for conferences and on-site visits with developers.
RequirementsWhat we need to see: A Masters or PhD (or additional equivalent experience) in Computer Engineering, Computer Science, or a domain science with a strong focus on the related computational methods. 5+ years of relevant software development experience. A passion for performance optimization. Programming fluency in C/C++ and/or Fortran with a deep understanding of algorithms, programming techniques, and software design. Hands-on and current experience with parallel programming, ideally CUDA or OpenACC, as well as MPI, OpenMP. Strong mathematical fundamentals, including linear algebra and numerical methods. Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Company DescriptionWith highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the industry working for us. Our engineering teams are quickly growing in some of the hottest and most innovative fields of technology: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more. If you are a creative and autonomous computer scientist with a real passion for parallel computing, we want to hear from you.
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·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior DevOps Engineer
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Together.ai
·
San Francisco
DescriptionWe are hiring a talented Senior DevOps Engineer to develop the software and processes for orchestration of AI workloads over large fleets of distributed GPU hardware. In this role, you'll be part of a cloud engineering organization that aims to automate everything and build failure-resistant and horizontally scalable cloud infrastructure for GPU-resident applications.

As a Senior DevOps Engineer, you'll build deep understanding of Together AI’s services and use that knowledge to optimize and evolve our infrastructure's reliability, availability, serviceability, and profitability.

The best applicants for this role are deeply technical, enthusiastic, great collaborators, and intrinsically motivated to deliver high quality infrastructure. You have experience practicing infrastructure-as-code, including the use of tools like Terraform and Ansible. You also have strong software development fundamentals, systems knowledge, troubleshooting abilities, and a deep sense of responsibility. This role requires frequent communications directly with our customers.
RequirementsRequirements Minimum of 5 years of prior relevant experience in DevOps, cloud computing, data center operations, SRE, and Linux systems administration. Experience in programming in at least one of the following languages: Java, Python, Go, C++. Experience designing and building advanced CI/CD pipeline frameworks. Experience with cloud computing toolsets like Terraform, Vault, and Packer. Experience with configuration management tools like Ansible, Pulumi, Chef and Puppet. Experience with Kubernetes, containerization and VPNs. Strong sense of ownership and desire to build great tools for others. Self-driven and motivated, with a strong work ethic and a passion for problem solving. Experience with AI workloads and blockchain based protocols a plus. GPU programming, NCCL, CUDA knowledge a plus. Experience with Pytorch or Tensorflow a plus. Responsibilities Create a highly automated infrastructure pipeline for deploying and scaling distributed and multi-tenant GPU-resident compute to new cloud and data center environments. Create infrastructure to auto-scale AI models, create training clusters, and wrestle with CUDA dependencies. Introduce tools to facilitate greater automation and operability of services. Design, build, and maintain CI/CD infrastructure. Architect, deploy, and scale observability infrastructure. Participate in on-call rotation and ensure uptime of services. Investigate production issues and help prevent their reoccurrence. Create runtime tools/processes that optimize cloud triaging and limit downtime. Define best practices to make our systems and services measurable. Work closely with internal teams to ensure best practices are appropriately applied. Build tools to help engineering and research teams measure and improve their velocity. Analyze and decompose complex software systems. Collaborate with and influence others to improve the overall design.
Company DescriptionAbout Together AI Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society.
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·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoc - Computational Science (JR100662)
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Brookhaven National Laboratory
·
Upton, NY
DescriptionThe Applied Mathematics Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in applied mathematics, machine learning, and scientific computing. This position offers a unique opportunity to conduct research in emerging interdisciplinary research problems at the intersection of applied mathematics, machine learning, and high-performance computing (HPC) with applications in diverse scientific domains of interest to BNL and the Department of Energy (DOE). Topics of specific interest include: (i) optimal decision-guided information and data processing including data reduction; (ii) high-dimensional compositional workflows that involve machine learning (ML) models; (iii) Bayesian inference and uncertainty quantification in scientific ML models and physical systems; (iv) learning/optimization of low-dimensional latent feature spaces for ML surrogates. The position includes access to world-class HPC resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale and will ensure that the successful candidate will have the necessary resources to solve challenging DOE problems of interest.

This program provides full support for a period of two years at CSI with possible extension. Candidates must have received a doctorate (Ph.D.) in applied mathematics, statistics, computer science, or a related field (e.g., mathematics, engineering, operations research, physics) within the past five years. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary.

Essential Duties and Responsibilities:

Conduct research in various applied mathematics/machine learning problems in the context of compositional workflows and surrogate or reduced modeling.
Work in interdisciplinary collaborations with applied domain scientists on various aspects of scientific data generation, processing, and compression.
Formulate a high-quality research program in collaboration with mentors in the group.
RequirementsRequired Knowledge, Skills, and Abilities: Ph.D. in applied mathematics, statistics, computer science, or a related field (e.g., mathematics, engineering, operations research, physics) awarded within the last 5 years. Programming experience in scientific modeling, scientific computing, or machine learning. Preferred Knowledge, Skills, and Abilities: Scientific machine learning / physics-informed machine learning, reduced modeling Decision theory, decision making under uncertainty, or optimal design of experiments Bayesian inference, uncertainty quantification, or spatiotemporal statistics Bayesian optimization, nonlinear/nonconvex optimization, mixed-integer programming Experience in scientific Machine Learning (ML) applied to domain sciences problems (e.g., in physical sciences, life sciences, or engineering) BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events.
Company DescriptionBrookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future. Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities. CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
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·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Compiler Engineer - PTX - JR1968761
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NVIDIA
·
US, CA, Santa Clara + other locations
DescriptionJob Description
We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX (Parallel Thread Execution) Compiler Development team. Join the PTX Compiler team and help drive the PTX compiler evolution. PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs and used by all Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by various non-NVIDIA compilers. PTX Compiler (PTXAS) apart from implementing PTX ISA is responsible for PTX Compiler Front End, interaction with optimizer and runtime aspects involving object files, debug information, linkers, loaders and Driver Compiler Interface.

As a senior member of the team you will be responsible for leading efforts to enhance PTX Compiler infrastructure to provide better compile time and help reduce memory footprint, deploying different compilation strategies to help better code generation and optimizations, enhance infrastructure to improve productivity of PTX Compiler developers. You will be solving challenging problems working alongside some of the top minds in GPU computing and systems software. See your efforts in action as HPC and DL developers use new PTX compiler enhancements to achieve the best performance of their applications.

What you will be doing:

Provide stewardship for PTX Compiler infrastructure.

Working closely with others in compiler stack to help improve compiler efficiency for compile time and memory footprint.

Collaborate closely with teams developing other related components to ensure compatibility, robustness and high-quality code generation.

Working with customers/partners to gather feedback and drive innovative ideas and features to incorporate into the product
RequirementsWhat we need to see: BS (or equivalent experience), MS or Ph.D. in Computer Science, Computer Engineering, or related fields. 4+ years of experience in the area of Compilers/Linkers. Superb analytical and C/C++ programming skills. Strong performance analysis skills Experience in any one area of compiler development including feature support, code generation and compiler infrastructure. Excellent and strong interactive, verbal and written communications skills. Good track record of developing and delivering software products. Ability to work independently and lead your own development effort. Ways to stand out from the crowd: Development experience in compiler performance analysis Development experience in JIT compilers
Company DescriptionNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you
·
·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Software Intern, Linear Algebra Libraries - 2024 - JR1973191
·
NVIDIA
·
US, CA, Santa Clara
DescriptionNVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

We are looking for software engineering interns for our BLAS and Linear Algebra teams which are a key part of high-performance computing and deep learning software stacks. The main purpose of these libraries is to provide the fastest computing primitives for sparse and dense linear algebra, like Cholesky decomposition and sparse and dense matrix products among many others. We see strong interest in optimization of such key functionalities from various industrial and research organizations - from Gaming and Machine Learning to autonomous driving and chip modeling. Some of these kernels spend several milliseconds while others involve hundreds of GPUs and spend hours. All of them need to be optimized for current and future GPUs that involve mathematical changes of algorithms. Does the idea of being at the heart of these projects and apply your knowledge to develop and optimize algorithms which make an impact around world excite you? If yes, then come and join our team! During your internship, you will work with senior software engineers on the libraries team who will provide mentorship and guide you in developing highly optimized algorithms. Projects will involve implementing new numerical algorithms, defining APIs, analyzing performance, finding appropriate solutions for difficult numerical corner cases, and other general software engineering work.

What you’ll be doing:

Prototype and develop numerical algorithms for high-performance math libraries in the areas of dense and sparse linear algebra for single node and multi GPU clusters

Analyze the performance of GPU or CPU implementations and find opportunities for improvements.

Collaborate with team members to understand software use cases and requirements
RequirementsWhat we need to see: Studying towards a MS or PhD degree in Computer Science, Applied Math, Engineering, or related field. Strong C++ programming, debugging, performance analysis, and test design skills. Experience implementing sparse or dense linear algebra algorithms. Parallel programming experience using CUDA, multi-threading or MPI. Ways to stand out from the crowd: Exposure to floating-point arithmetic and numerical error analysis. A scripting language, preferably Python.
Company DescriptionNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
·
·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Developer Technology Engineer - AI - JR1966268
·
NVIDIA
·
US, CA, Santa Clara
DescriptionNVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code.

What you will be doing:

Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.

Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.

Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
RequirementsWhat we need to see: A Masters Degree in an engineering or computer science related discipline (or equivalent experience) 6+ years of relevant work experience. Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. Firsthand work experience with parallel programming, ideally CUDA C/C++. Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Some travel is required for conferences and for on-site visits with developers.
Company DescriptionNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
·
·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Computer Architecture Intern 2024 - JR1970235
·
NVIDIA
·
US, CA, Santa Clara
DescriptionBy submitting your resume, you’re expressing interest in one of our 2024 NVIDIA Computer Architecture Engineering internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internships.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Computer Architecture teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.

Potential Internships in this field included (but not limited to):

Designing new hardware features for future architectures by building and improving graphics or parallel processing algorithms and advancing the state of parallel computation

Crafting software for various hardware simulators, testing infrastructures or metrics systems including databases

Working in a team to document, design, and develop tools to analyze and simulate, validate, and verify functional or performance models
RequirementsWhat we need to see: Currently pursuing a Bachelor's, Master's, or PhD degree within a relevant or related field Depending on role, prior experience or knowledge requirements could include programming skills and technologies such as: C++, RTL, scripting languages (Python, Perl), modern graphics APIs (DirectX, OpenGL, Vulkan), GPU computing (CUDA, OpenCL), revision control (Perforce, Git), HPC (MPI, OpenMP) Knowledge and coursework in computer architecture, and one or more of focused areas (computer graphics, deep learning, ray tracing, parallel programming, memory architecture, and high-performance computing systems)
Company DescriptionClick here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
·
·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Quantum Computing Software Intern 2024 - JR1973188
·
NVIDIA
·
US, CA, Santa Clara
DescriptionThe NVIDIA Math Libraries team is seeking interns in the area of quantum computing software development. We have extended NVIDIA's accelerated computing platform that has revolutionized HPC and AI, with the cuQuantum SDK. This exciting product helps researchers and framework builders in Quantum Computing (QC) tackle larger problems faster and increase the pace of innovation.

During this internship you will work closely with engineering and research teams across NVIDIA to help design, develop, and optimize software to accelerate different elements of QC workflows. Ideal candidates will have an interest in developing proof-of-concept implementations quickly and a willingness to iterate on those. Are you passionate about groundbreaking technology? If so, we would love to learn more about you!

What you'll be doing:

Assist with software engineering activities around proof-of-concept development of creative and innovative algorithms.

Collaborate with team members and specialists from other teams to understand software use cases and requirements.

Help productize new functionality through design, development, debugging, testing, and documentation under the mentorship of senior engineers on your team.

Analyze the performance of GPU or CPU implementations and find opportunities for algorithmic or implementations improvements.

Present your results and findings throughout your internship.
RequirementsWhat we need to see: Currently studying towards a M.S. or Ph.D. degree in Computer Science, Applied Math, Physics, or other related science or engineering field. Experience with quantum algorithms, programming systems, or hybrid classical/quantum computations. Strong software development skills with C++ and Python. Strong fundamentals in algorithms and numerical methods, particularly linear algebra. Good collaboration, communication, and documentation skills. Ways to stand out from the crowd: Experience with Tensor Networks or State Vector methods for Quantum Circuit Simulations. Parallel programming experience using multi-threading or MPI. GPU programming experience (CUDA or OpenCL).
Company DescriptionNVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us to provide capabilities which could not be imagined even a few years ago. If you're creative and love building the next generation of technologies that will be used throughout the world and have a real passion for technology, we want to hear from you.
·
·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Cloud Engineer
·
Together.ai
·
San Francisco
DescriptionAs a Senior Cloud Engineer, you will be responsible for building the next generation, highly available, global, multi-cloud PaaS platform with open-source technologies to enable and accelerate Together AI’s rapid growth.

This system will span many, heterogeneous environments (Kubernetes, VMs, bare metal compute, and edge deployments) and will provide a cohesive and reliable abstraction for running AI workloads in them. You will get to be a technology thought leader, evangelize new, cutting-edge technologies, and solve complex problems.

To be successful, you’ll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent communication, collaboration, and diplomacy skills. You have experience practicing infrastructure-as-code, including using tools like Terraform and Ansible. You’ll have strong software development fundamentals and skills. In addition, you’ll have strong systems knowledge and troubleshooting abilities.
RequirementsRequirements 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired). Demonstrated experience with high performance or distributed cloud microservices architectures and ideally experience building them in operation at a global scale using multiple cloud providers such as AWS, Azure, or GCP. Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking and storage, performance, and scale. Pragmatic, methodical, well-organized, detail-oriented, and self-starting. Experience with Kubernetes and containerization, VPNs, AI workloads, and blockchain based protocols a plus. GPU programming, NCCL, Cuda knowledge a plus. Experience with Pytorch or Tensorflow a plus. 5+ years experience writing high-performance, well-tested, production quality code. Responsibilities Perform architecture and research work for decentralized AI workloads. Work on the core, open-source Together AI platform. Create services, tools, and developer documentation. Create testing frameworks for robustness and fault-tolerance.
Company DescriptionTogether AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society.
·
·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Software Engineer, JAX - JR1966630
·
NVIDIA
·
US, CA, Santa Clara
DescriptionNVIDIA is hiring senior engineers to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world!

What You Will Be Doing:

Play meaningful role in NVIDIA's effort in contributing to JAX.

Design and implement JAX core components and drive peak performance on NVIDIA products.

Work with AI applied researchers and leaders to build future-proof models

Build tools that will increase the efficiency of teams developing AI-based systems.

Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products.
RequirementsWhat We Need To See: BS in Computer Science or Computer Engineering or related field (or equivalent experience) 5+ years relevant experience C/C++ and Python programming Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.) Proven ability developing customer-facing solutions, balancing feature requests and bugs. Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design. Highly motivated with excellent verbal and written communication skills. Ability to work successfully with multi-functional teams, principles and architects. Coordinates effectively across organizational boundaries and geographies. Ways To Stand Out From The Crowd: Understanding of JAX, Autograd, tracing, code generation and DSL compilers and their design. Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous. Background with software shipping cycles (dev, deploy, release, CI). Experience building distributed systems and services at large scale.
·
·
2023-10-27
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Developer Technology Intern, AI-Summer 2024 - JR1971808
·
NVIDIA
·
US, CA, Santa Clara
DescriptionJob Description
We are now looking for an AI Developer Technology Intern!

Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving car can meander through a country road at night and find its way. Large Language Models are powering many experiences across advanced chatbots, content generation for email responses, story generation for characters, marketing content, and more. This is truly an extraordinary time — the era of AI has begun. Generative AI, image recognition, and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason, create and solve problems.

Developer Technology team at NVIDIA plays a pivotal role in extracting maximum performance from our computing platform which enables researchers to develop and productize these state-of-the-art technologies. Do you share our passion for Artificial Intelligence? Come join a team full of outstanding engineers to work on the AI Developer Technology team.

What you will be doing:

Study and develop state of the art techniques in deep learning and machine learning and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.

Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models.
RequirementsWhat we need to see: Currently pursuing a MS or PhD in an engineering or Computer Science related discipline. You'll possess strong knowledge of C/C++, software development, programming techniques, and AI algorithms. Experience with parallel programming and performance optimizations, ideally CUDA C/C++. Mathematical fundamentals, including linear algebra. Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills. Way to stand out from the crowd: Experience with training Deep Learning models through frameworks like PyTorch, TensorFlow, DGL, PyG, and JAX Knowledge of programming and debugging software systems at scale using common HPC tools like MPI. Experience with low-precision arithmetic is a plus.
Company DescriptionNVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking, inventive, and hardworking people working here - we need your help to build our future. Are you creative, ambitious, and love challenges? We want to hear from you!
·
·
2023-10-26
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
HPC Computational Scientist - Software Lead
·
KLA
·
Ann Arbor
DescriptionJob Description/Preferred Qualifications

This position involves working with collaborators across multiple KLA products to develop innovative software solutions in a sophisticated product domain. The role provides exciting technical challenges as well as plenty of opportunities for leadership and collaboration with innovative software and algorithms teams across KLA! This role is a hands-on technical leadership role where you will be working alongside to help drive results.

KLA makes various products that combine very high-speed imaging, up to 50 GBps, with high performance image processing. Our software engineers work on software that control the imaging process, as well as the software to manage high bandwidth and high-volume data for image processing.

Key skills vital in this role:

Building and maintaining partnerships with key collaborators outside your own reporting organization
A natural curiosity and a dedication to lifelong learning is a significant ingredient for a successful engineer
Quickly understand sophisticated products and the software requirements associated with them to translate them into tangible and clear definitions of software
Work with upbeat teams in an encouraging leadership and mentoring capacity to develop and deliver software products
Partner with technical program managers, software configuration management and software quality assurance to make work for the team more efficient
Develop and implement processes and procedures for software development in the team
RequirementsQualifications: Qualified candidate should possess a BS or MS Degree and 7 years industry experience in Physics, Computational Physics, Computational Chemistry, Astrophysics, Computer Science or related field. PhD is a plus but not required Must have extensive hands-on experience with C or C++ on a Linux or Windows based system is required Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision Proven experience with higher level programming language C#, Python or Java Expertise in object orientated programming concepts Prior history of architecting sophisticated software systems and ability to provide critical feedback on architecture and design of new systems. Experience working in at least two of the following software domains; machine control (example; medical equipment, medical imaging or industrial software applications), image processing (example; clusters, supercomputing or HPC-high performance computing), backend software or systems programming for high performance computing (HPC) Experience with parallel programming and software optimization techniques, for example, CUDA, AVX, SIMD, MPI and Open MP is a plus Minimum Qualifications Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
·
·
2023-10-30
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Hardware/Circuits Engineer
·
Lawrence Berkeley National Laboratory
·
Remote
DescriptionHardware/Circuits Engineer - 99439
Division: AM-Applied Mathematics and Computational Research

Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division has an opening for a Hardware/Circuits Engineer to join the team.

In this role, you will be working with the Computer Architecture group on analog electronics for high-speed (radio frequency) electronic circuit design and also EDA tools (Cadence) to lay out circuit designs for prototype computing systems for the computer architecture group. This will be important for the design of signal transduction for quantum networking systems and development of novel high speed superconducting circuits for the IARPA AGILE test and evaluation.

What you will do (if hired at a level 2):
• Use commercial Electronic Design Automation (EDA) tools to take RTL designs and perform synthesis and layout of those designs into GDS form.
• Evaluate synthesized EDA designs to determine their power and area consumption.
• Design high speed circuits (both superconducting and conventional) for applications in quantum computing, control systems, and 5G networking.
• Model and evaluate high speed circuits using Spice or equivalent circuit analysis tools.
• Work on and resolve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining solutions.
• Determine methods and procedures on new assignments and may coordinate activities of other personnel.
• Network with key contacts outside your own area of expertise.

In addition to the above (if hired at a level 3):
• Lead small teams of CSEs and students to solve and manage projects.
• Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Write technical papers and journal articles to share your research with the community.
RequirementsWhat is required (if hired at a level 2): • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or equivalent work experience. • Understanding and experience with commercial EDA tools such as Cadence. • Proficiency in using Spice (or equivalent) circuit modeling tools. • Familiarity with hardware CAD tools and behavioral evaluation/modeling tools. • Work on and resolve problems of diverse scope where analysis of data requires evaluation of identifiable factors. • Ability to network with senior internal and external personnel in their own area of expertise. • Excellent oral and written communication skills. • Demonstrated ability to work effectively as part of a cross-disciplinary team. Additional requirements (if hired at a level 3): • Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent work experience with a PhD is highly desirable. • Ability to resolve complex issues in creative and effective ways. • Demonstrated ability to work effectively as part of a cross-disciplinary team. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ Notes: • This is a full-time, career appointment, exempt (monthly paid) from overtime pay. • If hired at a level 2- The full salary range of this position is between $8,658 to $14,610 per month and is expected to pay between a targeted range of $9,739 to $11,905 per month depending upon the candidate’s full skills, knowledge, and abilities, including education, certifications, and years of experience. • If hired at a level 3- The full salary range of this position is between $10,307 to $17,393 per month and is expected to pay between a targeted range of $11,595 to $14,172 per month depending upon the candidate’s full skills, knowledge, and abilities, including education, certifications, and years of experience. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271472 and follow the on-line instructions to complete the application process.
Company DescriptionLearn About Us: Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab - Click Here (https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html). Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Data Science Workflows Architect - 99764
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionData Science Workflows Architect - 99764
Division: NE-NERSC

POSITION: Lawrence Berkeley National Laboratory has multiple openings for a Data Science Workflows Architect in Berkeley, CA.

Duties: Work closely with one or more ECP application development teams through the NERSC NESAP program to help optimize their code to run well on future HPC systems. Collaborate with other stakeholders like HPC technology vendors and library developers in the optimization process. Educate and train ECP users by creating content for the NERSC website with online tutorials and documentation, giving presentations, and attending conferences. Keep abreast of developments and research in the high- performance computing field, particularly within ECP, including algorithms, programming-models, tools and optimization strategies. Serve as a NERSC mentor for one or more postdoctoral fellows in application performance on ECP applications. Provide conceptual guidance to other technical experts and management. Serve as the principal NERSC mentor for one or more postdoctoral fellows in application performance. Serve as a principal NERSC POC with ECP on major projects and create new opportunities for NERSC to provide resources and services to new scientific projects and communities.

Benefits: This full salary range of this position is between $140,856 to $237,696 per year depending upon
candidates’ full skills, knowledge, and abilities, including education, certifications, and years of experience.
RequirementsRequirements: Employer will accept a Bachelor’s degree in Computer Science, Physics, Computer Engineering, Software Engineering, or related field followed by 5 years of experience in the job offered or in a data science-related occupation. Alternatively, employer will accept a Master’s degree in Computer Science, Physics, Computer Engineering, Software Engineering, or related field and 36 months of experience in the job offered or in a data science-related occupation. Position requires: 1. Working with experiments that have real-time or large-scale computing requirements; 2. HPC systems, including use of a batch scheduling system; 3. Intel Xeon Phi, GPUs, or FPGAs; 4. Working on interdisciplinary projects involving multiple stakeholders and institutions; 5. C, C++, Python, or shell scripting; 6. System I/O, data transfer, or storage needs; and 7. Version control or debugging. This position is eligible for LBNL’s Employee Referral Program benefit(s). How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271479 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
HPC expert (f/m/d) to manage, optimize and deploy our HPC software stack
·
Leibniz Supercomputing Centre
·
Munich, Germany
DescriptionYou are looking for an employer you can count on? Join us!

HPC expert (f/m/d) to manage, optimize and deploy our HPC software stack

Your Role and Responsibilities:
On LRZ’s national leadership system SuperMUC NG and its successors CXS application support
group provides the user software stack ( tools, libraries, applications, via environment
modules and spack

We seek an expert to
• Coordinate the development of the software stack among the team
• Automatize compilation and deployment
• Automatize testing to ensure correctness, quality and performance
• Develop strategies to manage a broad variety of current and future system architectures in-cluding accelerators


This is what you can expect from us:
• Access to latest AI and HPC hardware (CPUs, GPUs, accelerators)
• Working with technology providers and developers (hardware/software)
• National and European collaboration partners and projects
• Friendly, open and international work environment
• Opportunities to develop your own ideas



The renumeration is regulated within the guidelines of the Collective Labour Agreement.
For the vacancy we can offer you salary group 13.
We have a flexible working time model with electronic time recording.
According the Collective Labour Agreement you are entitled to 30 days of annual leave.
The working time is 40 hours, from Monday to Friday. Part-time is possible
If you work overtime, you can take the hours for compensatory time-off.
The contract is limited for 24 month, with extention pending.
RequirementsBasic Qualifications: • Basic HPC knowledge: How to use compilers, libraries, MPI, OpenMP, SLURM, … • Software building tools: GNU make, CMake, autotools, ... • Version control systems (git) • Python and any high-level programming language (C, C++, Fortran) • Solving problems in a team • Enthusiasm and persistence Preferred Qualifications: • Working with environment modules • Working with spack and/or easybuild • CI/CD with Gitlab/Github • Testing and benchmarking frameworks • Working with containers
Company DescriptionThe LRZ in a nutshell: Since 1962, Bavarian unive rsities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital trans- formation of science, we are traditionally ahead of the game. What can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground breaking research. We offer flexible work schemes for an optimal work life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share exper iences, constantly review and improve our processes, and are proud that our service quality and data security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX).
·
·
2023-10-31
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Fellow Quantum Computing
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionPostdoctoral Fellow Quantum Computing - 99938
Division: AM-Applied Mathematics and Computational Research

Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division has an opening for a Quantum Computing Postdoctoral Fellow to join the team.

In this exciting role, you will be responsible for research focused on the development of programming models, software tools, error mitigation and partial error correction approaches and/or algorithms that enable DOE relevant science domains to utilize quantum simulation on NISQ quantum computers. You will contribute to the development and/or advancement of open-source software tools, primarily in Python, possibly in C/C++, focused on implementation of optimal algorithms on large numbers of qubits. You will be involved in the design and execution of simulations of physical hardware from testbeds and commercial partners. Involvement in the publication of the research and contributions at conferences is expected.

You will be part of an integrated team of quantum algorithm developers, physicists, mathematicians and computer scientists that will design and deliver novel algorithms, error mitigation and compiling techniques for DOE relevant science domains that will break new ground in modeling dynamical processes physical sciences and will advance machine learning on near-term quantum computing platforms, and provide a foundation for algorithmic development by the broader scientific and engineering scientific community.

What You Will Do:
• As part of the team contribute to the development of efficient algorithms for quantum simulations.
• Contribute to the implementation of algorithms in open-source software tools for quantum computing.
• Contribute to the advancement of software tools developing optimal quantum source code.
• As part of an interdisciplinary team contribute to the design and execution simulations on physical hardware.
• Publish results in peer reviewed journals and conferences.

Additional Responsibilities as needed:
• Excellent presentation skills.
RequirementsWhat is Required: • PhD degree in chemistry, physics, applied mathematics or a relevant field is required. • Demonstrated experience in quantum computing and related algorithm and software development is required. • Strong programming skills in Python. • Ability to work collaboratively in an interdisciplinary team contributing to an active intellectual environment. • Excellent written and oral communication skills. Desired Qualifications: • Programming skills in C/C++. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ Requested Application Materials: • Curriculum Vitae. • Statement of research experience and interests. Notes: • This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. • This position is represented by a union for collective bargaining purposes. • The monthly salary range for this position is $6431-$8642 and is expected to start at $7843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271474 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Data Science Workflows Architect - 100038
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionData Science Workflows Architect - 100038
Division: NE-NERSC

Lawrence Berkeley National Laboratory has multiple openings for a Data Science Workflows Architect in Berkeley, CA.

Duties: Support scientists at experimental facilities using supercomputing resources at the National Energy Research Scientific Computing Center (NERSC). The workflows from experiment facilities typically involves data movement, real-time data processing, data storage and management and scaling scientific codes to cutting-edge computing architectures. Work closely with company’s user community to adapt and optimize their computing needs for HPC systems. Work with domain scientists to utilize HPC resources at NERSC. Educate and train users by holding training classes, creating content for the NERSC website with online tutorials and documentation, giving presentations, and attending conferences. Communicate with users about new opportunities and capabilities in software and systems and advise them in effectively transitioning to new technologies. Configure the user environment on NERSC supercomputers to maximize scientific productivity for the user community. This includes defining the default development environment for ease of use and performance, selecting and maintaining a productive set of tools, choosing job scheduling parameters and queues to meet user needs, and monitoring system performance from an application perspective. Communicate clearly to both domain scientists and computer systems engineers, explaining the subtleties of using an HPC system and translating scientific requirements into computing needs.

Benefits: This full salary range of this position is between $127,392 to $214,980 year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
RequirementsRequirements: Master’s degree in Physics, Computer Science, or related field and 24 months of experience in the job offered or in a data science-related occupation. Position requires: 1. Work with experiments that have real-time or large-scale computing requirements; 2. HPC systems, including use of a batch scheduling system; 3. Intel Xeon Phi, GPUs, or FPGAs; 4. C, C++, Python, or shell scripting; 5. Big Data-type problems: system I/O, data transfer, or storage needs; and 6. Version control or debugging. This position is eligible for LBNL’s Employee Referral Program benefit(s). How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271480 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Computer Systems Engineer 1
·
Lawrence Berkeley National Laboratory
·
Remote
DescriptionComputer Systems Engineer 1 - 100317
Division: SN-Scientific Networking

Lawrence Berkeley National Laboratory has multiple openings for a Computer Systems Engineer 1 in Berkeley, CA.

Duties: Perform ESnet's incident management processes including observe alarms, manage incident tickets, send notifications, triage outages and escalate to the appropriate parties when required. Act as the primary external communicator for ESnet operational issues, including receiving requests and questions from ESnet sites, contacting carriers and peers to report problems and communicate network status to the wider ESnet community. Interface with ESnet optical line system NOC. Coordinate scheduled ESnet maintenance, including performing impact analysis and sending notifications. Facilitate remote-hands work at offsite ESnet locations, including coordinating with vendors and managing shipping and receiving of required hardware. Assist in managing ESnet equipment inventory. Assist with hands-on equipment work required on-site at Berkeley Lab such as power-cycling equipment and replacing hardware. Work on and solve problems of moderate scope where analysis of situations or data requires a review of a variety of factors. Identify and propose opportunities for process improvement and automation. Participate in a secondary engineering team as a liason to the Network Operations Center (NOC) team. Represent the ESnet NOC to a secondary engineering team and the wider set of ESnet staff.

May telecommute.

Benefits: This full salary range of this position is between $96,000 to $143,328 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
RequirementsRequirements: Bachelor’s degree in Computer Science, Telecommunication, or related field and 12 months of experience in the job offered or in a computer-related occupation. Position requires: 1. Networking protocols, including IPv4, IPv6, BGP and STP; 2. Command line access on networking switches and routers: Cisco, Juniper, or Nokia; 3. Command line and shell access on Unix-based systems: Linux or FreeBSD; and 4. System administration tasks: checking logs, restarting services, and rebooting servers; and 5. IT Service Management (ITSM) concepts: Incident Management, Problem Management, Service Request Management, Change Management, or Continual Service Improvement. This position is eligible for LBNL’s Employee Referral Program benefit(s). How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271484 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Computational Scientist-Image Analysis & Data Visualization
·
University of Chicago Research Computing Center
·
Chicago, IL
DescriptionThe Research Computing Center (RCC) seeks an experienced Computational Scientist with a focus on Image Analysis and Data Visualization to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on a wide range of research projects. In this role, the Computational Scientist will support faculty research projects, understand faculty’s research questions and contribute to finding solutions and implementing them. Working as part of an existing team, the successful candidate will have ample opportunity to contribute to enabling science at the University of Chicago, develop and deliver training, and other activities designed to advance research through image analysis, data visualization and beyond.
RequirementsPreferred Qualifications Education: -Ph.D degree in any discipline with a strong computational background. Technical Skills or Knowledge: -Experience with data modeling, image analysis, and data visualization. -Experience with medical image processing and medical image tools such as 3D Slicer, Amira, ITK-Snap. -Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)for computer vision applications. -Experience with one or more high-level languages such as C/C++, Python, Matlab, or R. -Experience with data visualization tools/toolkits such as Visualization Toolkit (VTK), D3.js, VisIT, ParaView or Tableau. -Experience with Linux/Unix. -Experience with git and svn. -Expertise with software design and development methodologies and best practices. -Experience with statistical and numerical methods.
Company DescriptionThe University of Chicago Research Computing Center (RCC), a unit in the Office of Research, provides high-end research computing resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High Performance Computing (HPC), storage, and visualization resources. These resources include hardware, software, high-level scientific and technical user support, and the education and training required to help researchers make full use of modern HPC technology and local and national supercomputing resources. The Office of Research oversees the conduct of sponsored research, research program development, and contract management functions. The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Quantum Computing Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionQuantum Computing Postdoctoral Fellow - 99777
Division: AM-Applied Mathematics and Computational Research

The Computer Architecture Group and the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab have an exciting opportunity for a Postdoctoral Research Scholar to develop novel approaches to quantum benchmarking.

The challenge: Quantum computing technologies are making rapid progress. Currently available commercial and academic quantum hardware platforms are starting to reach qubit counts and circuit depths that are becoming increasingly challenging to simulate classically. On the other hand, imperfections in the hardware and control give rise to noise and reduced fidelity operations. This makes assessing the computational performance of quantum computers a complex task.

In this project, you will develop new methods for benchmarking of quantum hardware that are based on a sound theoretical footing and will be verified through experiments. You will start from a holistic approach and take the entire computational stack into account in order to characterize the end-to-end performance of quantum applications. Your results will be used to inform NERSC about quantum hardware performance.

The successful applicant is a motivated researcher with experience in quantum information theory and practice. You will be part of a multidisciplinary team with members from the Computer Architecture Group (AMCR Division) and Advanced Technologies Group (NERSC) and are expected to be a result-driven and independent worker.

What You Will Do:
• Develop novel, holistic approaches to quantum benchmarking and quantum hardware evaluation based on theory and practice.
• Focus on correlating low-level hardware characteristics with application-level performance.
• Develop and maintain quantum benchmarking software and data repositories.
• Disseminate results of research activities through refereed publications, reports, and conference presentations.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
• Opportunities to travel to sites at other labs, universities, and to vendor facilities.
• Collaborate with domain scientists for the purpose of making quantum benchmarking easily accessible to them.
• Collaborate with facility scientists to plan the potential integration of quantum for broader use cases.
• Participate in all requested assignments, including research, preparation of proposals, documentation of results, and reporting results to sponsors.
• Participate in developing new funding initiatives as needed.
RequirementsWhat is Required: • Requires a PhD in Physical sciences (physics, chemistry and materials science), Quantum Information, Mathematics, Computer Science, Computational Science or Engineering within the last 3 years. • Leading edge knowledge and research expertise in quantum algorithms and technologies. • The ability to program proficiently in Python, Julia, Matlab, or C++. • Demonstrated expertise in working with modeling methods and software tools for hardware/software exploration. • Demonstrated creativity, initiative, and ability to design, develop and implement complex solutions. • Independent and result-driven worker. • Excellent oral and written communication skills. • Demonstrated ability to work effectively as part of a cross-disciplinary team. • Ability to communicate effectively. • Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings. Desired Qualifications: • Experience with developing and evaluating quantum benchmarking primitives. • Experience with quantum hardware backends, such as digital gate-based hardware, pulse-level access, or analog quantum simulators. • Familiarity with HPC and scientific computing applications. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ The monthly salary range for this position is $6,431-$8,642 and is expected to start at $7,843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience. Notes: • This is a full-time 2, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. • This position is represented by a union for collective bargaining purposes. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271473 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
HPC Systems Software Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionHPC Systems Software Engineer - 98786
Division: NE-NERSC

Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for an HPC Systems Software Engineer to join the team.

We are looking for system developers and software engineers to join our team at the National Energy Research Scientific Computing Center (NERSC) to help architect, deploy, configure, and operate large scale, leading-edge HPC systems. You will work collaboratively to develop and operate large-scale compute and storage platforms to drive scientific research and progress. Working with other teams at NERSC, other laboratories, and vendors you will develop innovative solutions that enable science as well as improve the state of HPC practice on an international stage. Using your knowledge, skills, and experience, you will help research, evaluate, and develop new technologies to support NERSC’s mission of accelerating scientific discovery through high performance computing and data analysis into the exascale era.

What You Will Do:
• Participate in team-oriented agile development and management process for HPC systems
• Develop and maintain APIs to securely expose system functionality to end users
• Automate common tasks and processes to continuously improve HPC systems management
• Analyze system issues and develop solutions to improve end-user experience
• Be part of a team that installs, tests, maintains and manages HPC systems
• Assist with technology evaluation of systems and system architecture
• Work with vendors to prioritize, develop and enhance their technologies in order to better meet the needs of our users
• Be part of team providing on-call rotation for 24x7 HPC system support

Additional Responsibilities as needed:
• Provide leadership and technical guidance to group members, and members of other groups at NERSC.
• Recommend and lead implementation and deployment efforts for system improvements that enhance reliability, stability, usability, performance and security.
• Identify and evaluate emerging HPC technologies and explore new features that would create new capabilities and enhance system performance and usability.
• Participate in working/user/advocacy groups and represent NERSC and its interests to the broader HPC community.
RequirementsWhat is Required (to be hired at a level 3): • Typically requires a minimum of 8 years of related experience with a Bachelor’s degree in Computer Science or STEM-related field; or 6 years and a Master’s degree; or equivalent experience. • Minimum of 2 years of experience with systems programming in linux environment or management of large-scale Linux-based systems in a high-performance computing, cloud computing, or hyper-scale environment. • Experience with C, bourne shell, and Python3 programming languages. • Demonstrated ability to work independently as well as collaboratively in large projects, and contribute to an active and respectful intellectual environment. • Excellent oral and written communication skills. • Ability to derive technical solutions in a collaborative environment to meet end user requirements or needs. If hired at a level 4: • A minimum of 12 years linux experience with a minimum of 6 years of experience with the management of large-scale linux based systems in a HPC or Cloud environment, or have a strong community presence for developing one of the key technologies in use on NERSC systems. • Demonstrated excellent systems programming skills and strong knowledge of Linux internals. • Demonstrated ability to successfully lead complex projects. Desirable qualifications include experience in two or more of the following: • Development of kubernetes microservices using technologies like helm or loftsman for deployment. • Operations of kubernetes, etcd. • Infrastructure as code solutions like argo, terraform, ansible, puppet, salt. • Rust or Go programming language. • Gitlab or Github Continuous Integration and Project Management. • Agile process, scrum. • Linux kernel interfaces, cgroups, ebpf. • Installation, configuration, monitoring, and tuning of workload management systems such as Slurm, PBSPro, or GridEngine. • Monitoring solutions such grafana, prometheus, ldms. • HPC systems administration. • HPC applications analysis, MPI. • Specialized networking (infiniband, slingshot, high-speed networks). • Lustre, SpectrumScale (GPFS) or other parallel file systems. Many of these desirable qualifications can be developed on the job. As a result, applicants missing several of the desired qualifications are still encouraged to apply. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ If hired at a level 3: This full salary range of this position is between $10,307 to $17,393 per month and is expected to pay between a targeted range of $11,595 to $14,172 per month depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience. If hired at a level 4: This full salary range of this position is between $11,738 to $19,808 per month and is expected to pay between a targeted range of $13,205 to $16,140 per month depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience. Notes: • This is a full-time, career appointment, exempt (monthly paid) from overtime pay. • This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • Common for Posting Export Control access role: This position will involve access to hardware, commodities, and technical information subject to export control regulations including, but not limited to, the Export Administration Regulations ("EAR") and/or International Traffic in Arms Regulations ("ITAR"). Accordingly, any hiring decision may depend in part on Berkeley Lab’s ability to obtain or rely on federal government authorizations as required, if you are not a U.S. citizen, lawful permanent resident of the U.S. (“green card holder”), asylee, refugee, or other qualifying protected individual as defined by 8 U.S.C. 1324b(a)(3). • This position is not eligible for visa sponsorship • This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. In rare cases, full-time telework or remote work modes may be considered. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271478 and follow the on-line instructions to complete the application process.
Company DescriptionBased on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov (http://covid.lbl.gov/) for more information. Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
HPC System R&D Engineer - KLA India
·
KLA
·
Ann Arbor
DescriptionKLA’s AI Advanced Computing Labs is looking for an extraordinary HPC System R&D Engineer to join its team to develop system-level HPC technologies that would form the foundation of next-generation clusters used in KLA tools. The technologies would be developed and demonstrated on on-prem clusters that serve as testbeds for next-generation KLA tools.

 Your Day-to-day Roles

Expose limitations in existing solutions, based on clusters of CPUs & GPUs, to deploy AI-based solutions on on-prem & cloud infrastructures at scale.

Develop system-level solutions that enable scaling out image processing & AI loads from single GPU to multi-node clusters with multiple GPUs.

Install, benchmark, and evaluate pre-release hardware for early-stage evaluation and prototyping by identifying (or developing) relevant workloads.

Explore modern HPC systems software (such as new distributions of linux) for adoption into KLA’s tools.
RequirementsMinimum Qualifications Masters / PhD in Computer Science or related fields; bachelors degree holders with relevant experience and extraordinary track-record will also be considered. Deep understanding of operating systems, computer networks, and high performance applications Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators. Experience with deployments of deep-learning frameworks based on TensorFlow, and PyTorch on large-scale on-prem or cloud infrastructures. Solid understanding of container infrastructure such as Docker or singularity, and Kubernetes. Strong Scripting Skills in Bash, Python, or similar. Good communication. Things to Make us go Wow! Hands-on experience in architecting, building, and maintaining (against all odds!) large scale distributed HPC clusters. Experience with model development on DL frameworks such as TensorFlow, and PyTorch Experience with building open-source operating systems and software stack on pre-release hardware. Hands-on involvement with cluster management tools (such as Prometheus, Grafana), scheduling and resource management (like SLURM, PBS, MPI/OSHMEM), and virtualization technologies (such as KVM/VMWare/Nutanix) Experience in working with developers who use clusters & sys-admins who maintain clusters
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
·
·
2023-10-30
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Seeking Team Leader / Unit Leader (Open to female researchers only) (R-CCS-PI2305)
·
RIKEN
·
RIKEN Center for Computational Science 7-1-26, Minatojima-minamimachi, Chuo-ku, Kobe, 650-0047, JAPAN The research base may also be established at another RIKEN branch in order to ensure smooth execution of duties. RIKEN has implemented a work-from-home system. Employees can work from home in accordance with the prescribed procedures.
Description【Job title and Job description】
Job title:
Team Leader / Unit Leader* (full-time, fixed-term): up to 2 persons. Open to female researchers only. This is a measure aimed at actively improving the current situation of very low representation of women in research management positions.
*The selection of either the Team Leader or Unit Leader will be determined by RIKEN, comprehensively based on the applicant's performance and skill through the selection process.
R-CCS Research TeamsThe webpage will open in a new tab.
Operations and Computer Technologies DivisionThe webpage will open in a new tab.
HPC-and AI-driven Drug Development Platform DivisionThe webpage will open in a new tab.
Quantum-HPC Hybrid Platform DivisionThe webpage will open in a new tab.

Expected research themes
Research in High Performance Computing (HPC) and Computational Science, including research related to their practical application, AI, big data, digital twins, and quantum computing.

【Qualifications】
Applicants must have a PhD degree or equivalent and be able to demonstrate their abilities in upgrading of next-generation supercomputers such as Fugaku. Applicants are expected to facilitate synergy between computer science and computational science, and to have a long-term vision to explore research and development of common infrastructure supporting the wide-ranging fields of computer science. In addition, applicants must have competency equal to that of a professor or an associate professor in charge of research at the graduate school level, and sufficient skills to lead a laboratory.

In particular, applicants should have the ability to drive the research fields related to the above job duties on an international level. Applicants of all nationalities are welcome. Furthermore, applicants must be able to balance cooperation with independent research and have the management and communication skills necessary to carry out the work.

【Work location】
Branch and address:
RIKEN Center for Computational Science
7-1-26, Minatojima-minamimachi, Chuo-ku, Kobe, 650-0047, JAPAN

The research base may also be established at another RIKEN branch in order to ensure smooth execution of duties.
RIKEN has implemented a work-from-home system. Employees can work from home in accordance with the prescribed procedures.

【Salary and benefits】
1.Five-year fixed-term employment contract for a full-time management position as Team Leader or Unit Leader. Renewable based on evaluation, up to seven years from the initial date of hire.
2.RIKEN may adjust the above maximum period of renewability based on a) the employee's abilities, workload at the time of contract completion, performance and work attitude and b) the continuation of the employee's center, laboratory or project and RIKEN's management situation and budget at the time. In principle, employment contracts will not be renewed for individuals older than 65 years.
3.Newly hired female Team Leaders / Unit Leaders can apply for additional grants from the internal fund to set up their research environment as part of the Center's efforts to promote the active participation of women.

RIKEN has indefinite-term positions, which are subject to the mandatory retirement age of 60. There is a subsequent re-employment program allowing hiring until age of 65. Any scientists, including fixed-term Team Leaders / Unit Leaders of RIKEN who have been hired through this open call, are eligible to apply to open calls for indefinite-term positions.

In principle, the first two months of employment is considered a trial period.

Salary will be an annual salary based on experience, ability, and performance, and will consist of a base salary and a variable salary. The variable salary will be determined each fiscal year based on experience, ability, and performance. The monthly base salary is 708,000 JPY for Team Leader and 601,500 JPY for Unit Leader. The monthly base salary and variable salary are subject to change due to amendments to RIKEN regulations.
Commuting and housing allowances will be provided. Social insurance will be applied.

The approximate amount of monthly salary at the time of employment:
The monthly salary at the time of employment will start from 708,000 JPY for Team Leader and 601,500 JPY for Unit Leader per month, with additions based on performance and experience.

Mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai).

Work hours: 9:00 to 17:20 (lunch break 12:00 to 12:50). However, the employee may change starting and finishing times at their own discretion if it does not interfere with work performance.

Days off include public holidays, New Year's holidays (Dec. 29 - Jan 3), and RIKEN Foundation Day.

Paid leave includes annual paid leave (up to 20 days per year depending on the month of employment), special paid leave (childcare, family nursing care, etc.), and work-life balance holidays (up to 7 days per year depending on the month of employment).
There are also additional leave systems such as maternity leave, childcare leave, and family nursing care leave.

No smoking on site.

These and other provisions are in accordance with RIKEN regulations.

The Kobe Branch has an on-site daycare, Po-I Kids Kobe.
For details, please send an email to the Kobe Human Resource Section at kobe-kosei [at] riken.jp.

Also, eligible for an exemption from repayment for category 1 scholarship loans provided by the Japan Student Services Organization before fiscal year 2003, and eligible to apply for the MEXT Grants-in-Aid for Scientific Research (Kakenhi).

RIKEN is actively undertaking initiatives to promote gender equality and diversity, and moving forward with the establishment of a diverse and vibrant research environment. In compliance with Article 8 of the Equal Employment Opportunity Law (Special Provisions of Measures Pertaining to Women Workers), this type of recruitment is carried out as a measure to attain adequate levels of female representation.

Newly established Teams and Units proactively use the telework system. This position is eligible for full remote work (telework on all regular RIKEN work days) within Japan. Use of this system entails following the prescribed procedures and obtaining approval from RIKEN. For details, inquire with the staff in charge of hiring procedures at r-ccs-kikaku [at] ml.riken.jp.

【Application and required documents】
Please prepare the following documents in English.
1.CV
There is no format specified for the CV, but it must include the following information: name, nationality, date of birth, educational background and employment history, including current affiliation and address of affiliation, and the applicant's email address to be used for contact information.
2.Research and development achievement list
Include lists of papers (divided by original papers, reviews, and others), patents, invited talks, etc. Please also include quantitative measures for evaluation, such as the Google Scholar citation index, whenever possible.
3.Copies of up to five major papers (Please mark the major papers in the list of research achievements.)
If the original papers are not in PDF format, scan the papers and save them as PDF documents for submission.
4.List of competitive funds acquired, awards received, and other achievements
Include contributions to university/institution operations, contributions to society through activities in academic societies, joint research projects, technology transfers, etc.
5.Description of the research conducted to date (no more than two A4 pages). It is best to attach a diagram describing your research.
6.Technological development plan if you are employed by R-CCS (no more than two A4 pages)
Your philosophy on team or unit management/human resources development (roughly one A4 page)
7.Recommendation letters from two persons who can evaluate your work *One recommendation letter should be written by the applicant's current supervisor. If this is difficult to provide, a recommendation letter written by a third party may be accepted.
*If the applicant currently works for RIKEN, recommendation letters should be written by a person outside of RIKEN.
*Both recommendation letters should not come from the same institution.
*Recommendation letters must be sent directly by the referees.
*The letters should be addressed to the President of RIKEN. Digital signature image should be embedded in the recommendation letters within the PDF file. Or please specify the referee's contact information (name, affiliation, job title, phone number, and email address) in the letter. Please make sure to write the date.

8.
Consent form for handling personal information based on GDPR
If you are a resident of the European Economic Area (EEA), you are required to submit the document, "Consent form for handling personal information based on GDPR (PDF 97KB)The webpage will open in a new tab." with your signature.

*You will find detailed information about General Data Protection Regulation (GDPR) on the following website:
Data protection | European CommissionThe webpage will open in a new tab.


*You will find detailed information about General Data Protection Regulation (GDPR) on the following website:
Data protection | European CommissionThe webpage will open in a new tab.

How to apply:
Combine the above documents except the recommendation letters into a single PDF file and upload the file to the following website:
Applications for R-CCS-PI2305 New Research Team (Unit)The webpage will open in a new tab.

The file name of the PDF should contain the job ad number "R-CCS-PI2305, New Research Team (Unit)" and the applicant's name.

After you upload the PDF file, please let us (kobe-jobs[at]riken.jp) know the name of the uploaded file. Please make the email subject line:
"Your Name_R-CCS-PI2305 New Research Team (Unit)_ Team (Unit) Leader application documents"

Referees should submit recommendation letters directly by sending to (kobe-jobs [at] riken.jp) as an email attachment. The email subject line should be:
"RIKEN Center for Computational Science, R-CCS-PI2305 New Team (Unit), Team (Unit) Leader Application (Applicant's Name) recommendation letter."
Specify the applicant's name, and the referee's name and contact information in the body of the email.

If a confirmation email is not received within 7 days after submission, please contact: kobe-jobs [at] riken.jp

Deadline:
Thursday, December 28, 2023, 5:00 pm (Japan time)
All documents, including recommendation letters, must be received by 5:00 pm on this date.

Handling Personal Data:
Submitted documents are strictly protected under the RIKEN Privacy Policy and will be used only for the purpose of applicant screening. Personal information will not be disclosed, transferred or loaned to a third party under any circumstances without authorization by the applicant.

【Selection process】
We will conduct the screening procedures upon receipt of the applications. We will notify all applicants of whether or not they pass, but only selected candidates will move on to the interview process. Please understand that we cannot respond to inquiries about the selection results.

【Start of Employment】
July 1, 2024 or later, at the earliest opportunity

【Notes】
In principle, submitted application documents will not be returned. Submitted documents will be used only for this position's selection process and not for any other purpose.

【Contact Information】
For inquiries on this open position, please contact the person named below by email:

Computational Science Promotion Office, Kobe Branch, RIKEN
Email: r-ccs-kikaku [at] riken.jp
Company DescriptionRIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes "science of computing, by computing, and for computing." R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its "core competence in computational science driving science as a whole." R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS utilizes its expertise to operate the supercomputer Fugaku, developed as Japan's national project, in accordance with relevant ordinances. R-CCS plans to launch a new research team or unit in fiscal year 2024 to advance the further utilization and expansion of supercomputers, including Fugaku, as well as to promote research and development in next-generation HPC systems and applications utilizing HPC.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Computational Research Scientist
·
Lawrence Berkeley National Laboratory
·
Remote
DescriptionComputational Research Scientist - 100002
Division: AM-Applied Mathematics and Computational Research

The Scalable Solvers Group (SSG) in the Applied Mathematics and Computational Research Division (AMCRD) at the Lawrence Berkeley National Laboratory (LBNL) is seeking a Career-Track Research Scientist in the area of mathematical analysis and numerical methods for solving linear and nonlinear differential and integral-differential equations with applications to quantum many-body dynamics. The SSG in AMCRD at LBNL focuses mainly on developing scalable numerical algorithms and high-performance implementations to enable scientific discovery through advanced computing.

In this exciting role, you will participate in research activities related to the development of new algorithms and high-performance implementations of these algorithms for solving nonlinear differential and integral-differential equations. In addition, you will participate in a multidisciplinary team involving mathematicians, computer scientists, and domain scientists for developing fast simulation tools to tackle challenging DOE science problems. Options to develop one’s own independent line of research will be especially encouraged.

What You Will Do:
• Develop efficient and high order algorithms for solving differential equations (e.g., the Dirac equation) and integral-differential equations (e.g. the Kadanoff-Baym equation.)
• Perform mathematical analysis of new approximation schemes and establish practical error bounds.
• Develop reduced order models to approximate long-time dynamics of quantum many-body systems.
• Use machine learning techniques to improve the performance of traditional numerical algorithms.
• Optimize the performance of differential and integral-differential equation solvers on DOE leadership high- performance computers (such as the NERSC Perlmutter system).

Additional Responsibilities as needed:
• Develop efficient algorithms for data reduction and analytics.
• Analyze the algorithmic complexity and parallel scalability of new computational approaches.
• Interact with physical scientists to deploy algorithms in application software.
RequirementsWhat is Required: • Requires a Ph.D in Mathematics within the last 5 years, with a strong background in numerical methods development and rigorous mathematical analysis. • Knowledge of numerical methods for solving differential equations and integral-differentia equations. • The ability to perform rigorous mathematical analysis of numerical algorithms and establish practical error bounds of approximate solutions. • Knowledge of model reduction techniques such as dynamic mode decomposition. • The ability to program proficiently in a high-level programming language, such as C++/C/FORTRAN, and should have experience in parallel computing and be able to use MPI/OpenMP/OpenACC/CUDA. • Ability to communicate effectively. • Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings. Desired Qualifications: • Knowledge of performance optimization for scientific software. • Familiar with quantum many-body problems. • Knowledge and experience with machine learning techniques is a plus. • The ability to program on GPUs using CUDA. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ Notes: • This is a full time, 5 year, career-track term appointment that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. • This full salary range of this position is between $7,353 to $17,646 per month and is expected to pay between a targeted range of $9,804 to $13,724 per month depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • Work may be performed hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271475 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
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·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
NESAP for Simulations Postdoctoral Fellow
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionNESAP for Simulations Postdoctoral Fellow - 95146
Division: NE-NERSC

The National Energy Research Scientific Computing Center (NERSC, http://www.nersc.gov/about/) at Berkeley Lab seeks highly motivated postdocs to join the NERSC Exascale Science Application Program (NESAP, https://www.nersc.gov/users/application-performance/nesap/). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science.

The Challenge: Enabling simulation of complex physical systems, advanced data analytics, and machine learning at scale on energy-efficient supercomputers. Successful candidates will join different teams to focus on one of the following frontiers:

NESAP for Simulations (N4S): Cutting-edge simulation of complex physical phenomena requires increasing amounts of computational resources due to factors such increasing model sizes, parameter space searches, and inclusion of additional physics. N4S enables simulations to make effective use of modern high-performance computing (HPC) platforms by focusing on algorithm and data structure development and implementation on new architectures such as GPUs, exposing additional parallelism and improving scalability.

To enable new discoveries through simulation, data analytics, and ML/DL, NERSC will begin deploying “Perlmutter,” a Cray supercomputer, in 2020. Perlmutter, a system optimized for science, is a heterogeneous system including future-generation AMD CPUs and next-generation NVIDIA GPUs. It also has a high-speed interconnect and an all-flash file system.

Perlmutter is NERSC’s first production GPU-based system. Many codes running at NERSC need to be adapted or optimized to run efficiently on GPUs. At the same time, solutions that put GPU performance in users’ hands need to be portable ones. NESAP is about employing cutting-edge computer science and advanced performance analysis tools to develop highly scalable, distributed parallel algorithms to meet this challenge.

In this exciting role, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to transition and optimize codes to the Perlmutter system and produce mission-relevant science that pushes the limits of HPC. You will carry out code transition efforts in collaboration with a project PI and team members with the support of NERSC and vendor staff. Successful candidates are expected to collaborate with each other across NESAP program areas (N4S, N4D, N4L).

NESAP has established a track record of enabling its postdocs to pursue careers in data science, HPC, and scientific computing both in industry and at national labs. Take a look at what current and former NESAP postdocs are up to here.

What You Will Do:
• Work with NERSC staff and code teams to transition and optimize simulation, data analytics, or machine learning codes for the Perlmutter system in performance-portable ways.
• Conduct profiling and scaling studies as well as parallelization, memory bandwidth, and I/O analyses for these codes; identify and capitalize on NERSC’s combined HPC/data ecosystems.
• Working with domain experts, develop, adapt, and optimize state-of-the-art ML/DL models to solve scientific problems on HPC systems.
• Disseminate results of research activities through refereed publications, reports, and conference presentations. Ensure that new methods are documented for the broader community, NERSC staff, vendors, and NERSC users.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
• Opportunities to travel to sites at other labs, universities, and to vendor facilities.
RequirementsWhat is Required: • Ph.D. in Computational Science, Data Science, Computer Science, Applied Mathematics, or a science domain area with a computationally-oriented research focus. • Research experience and knowledge in computing and/or code development for experimental science or HPC. • Experience in scientific computing, algorithms design, or applied mathematics. • Demonstrably effective communication and interpersonal skills. • Ability to work productively both independently and as part of an interdisciplinary team balancing objectives involving research and code development. • Experience with GPU and parallel/manycore computer architectures, threading, and vectorization. • Experience with numerical linear algebra, particle methods, grid methods. • Experience with C, C++, Fortran, MPI, threading, and data structure transformations. Desired Qualifications: • Experience with the development and performance optimization of scientific software in the HPC context. • Publication record or contributions to open-source software projects commensurate with years of experience. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ The monthly salary range for this position is $6431-$8642 and is expected to start at $7843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience. Notes: • This is a full-time 2 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. • This position is represented by a union for collective bargaining purposes. • Salary will be predetermined based on postdoctoral step rates. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271477 and follow the on-line instructions to complete the application process.
Company DescriptionBased on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov (http://covid.lbl.gov/) for more information. Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
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·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Post-Moore Microelectronics/VLSI Co-Design Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionPost-Moore Microelectronics/VLSI Co-Design Postdoctoral Scholar - 99277
Division: AM-Applied Mathematics and Computational Research

Berkeley Lab’s Applied Math and Computational Sciences Division (https://crd.lbl.gov/) has an opening for a Postdoctoral Scholar to evaluate and develop devices to hardware/circuit co-design flow for architectural specializations for high performance computing and edge computing applications.

In the absence of Moore’s Law Scaling, the Department of Energy (DOE) must investigate alternative paths to continuing computing performance improvements for scientific applications through architectural specialization. The successful candidate will contribute to the development and evaluation of novel heterogeneous device-based circuit design for extreme heterogeneous SoC (System on Chip) designs, and evaluate their merit for emerging computational workloads for the purpose of maximizing performance and energy efficiency. This work will have a broad impact on high performance and other larger-scale computing for critical applications for society and science.

The successful applicant will need to have expertise with computer architecture and processor design and from the ground up, and have skills in Spice analog/digital circuit design, Verilog and use of CAD/EDA tools. It is desirable if the applicant has familiarity with higher-level hardware design languages such as CHISEL, PyMTL or other HDLs that target an FIRRTL intermediate representation. It is also beneficial if the candidate has experience with full tape-out experience of ASICs. Using those skills, the successful candidate will design post-Moore devices-based compute, memory, or data transfer blocks for key application kernels to demonstrate the merit of this approach. This position will also make key intellectual contributions and consequently publish papers to the emerging field of extreme heterogeneous computing and domain-specific specializations.

What You Will Do:
• Design circuits, hardware accelerators and processor architectures using post-Moore devices to accelerate key HPC applications and application kernels.
• Develop compact models and methodologies to use these circuits for performance and energy characterizations which can be used in architectural simulation framework for tightly integrating these accelerators into heterogeneous systems and SoCs that may contain multiple different kinds of accelerator devices.
• Identify opportunities and challenges for devices to architectural design space exploration for several post-Moore devices to address those bottlenecks and develop circuit design models to determine the performance potential for those solutions.
• Develop metrics and benchmark tests in order to compare conventional CMOS based processors/accelerators and enhanced post-Moore devices based computational accelerators for key HPC applications and algorithms.
RequirementsWhat is Required: • PhD or equivalent in a Computing Science or Computer Engineering related scientific discipline. • Past experience in either Machine learning accelerators or SRAM array design or basic blocks of processor at transistor level. • Courses or experience in CAD for VLSI algorithms and C++ Programming. • Proficient in Spice Circuit Simulations, Verilog and hardware design in CMOS, FeFET, NCFET etc. • Familiarity with hardware EDA/CAD tools and evaluation/modeling tools in order to extend existing infrastructure to rapidly evaluate CMOS designs. • Demonstrated creativity, initiative and ability to design, develop and implement complex solutions in consultation with designated technical expert(s) and/or supervisor. • Experience and track-record writing technical papers and reports. • Experience with the use of script languages and system utilities such as configure, Perl, UNIX shell scripts, and “make.” • Proven record of working effectively in a team, seeing projects through to completion, meeting deadlines, interacting with users, and thorough documentation of contributions. • Willingness to learn and develop skills in new topics. Desired Qualifications: • Previous experience and publications in Processing-In-Memory and Logic-in-Memory architectures is highly desirable. • Experience with coding in C++/python for CAD tool development for ASIC design. • Experience with higher-level hardware design languages (HDLs) such as CHISEL, PyMTL, or others. • Experience with FPGA design flows would also be beneficial. • Demonstrated ability to lead technical efforts with teams of people will also be beneficial. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ The monthly salary range for this position is $6431-$8642 and is expected to start at $7843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience. Notes: • This is a full-time 3 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 2 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. • This position is represented by a union for collective bargaining purposes. • Salary will be predetermined based on postdoctoral step rates. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271471 and follow the on-line instructions to complete the application process.
Company DescriptionBased on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov (http://covid.lbl.gov/) for more information. Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
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·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Researcher/postdoc/Technician
·
RIKEN
·
RIKEN Center for Computational Science 7-1-26, Minatojima-minamimachi, Chuo-ku, Kobe, 650-0047, JAPAN The research base may also be established at another RIKEN branch in order to ensure smooth execution of duties. RIKEN has implemented a work-from-home system. Employees can work from home in accordance with the prescribed procedures.
DescriptionThe RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes “science of computing, by computing, and for computing.” R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its “core competence in computational science driving science as a whole.” R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS is utilizing its expertise to operate the supercomputer “Fugaku” which was developed as a national project in accordance with Japanese laws and regulations.
Now that more than 20 positions are calling at R-CCS. For more details, please go to the Job Openings Web Site.
https://www.riken.jp/en/careers/openings/index.html
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Scalable Data and Simulation Engineer (Hybrid Eligible)
·
Oak Ridge National Laboratory
·
Oak Ridge, Tennessee
DescriptionOverview:
We are seeking a Scalable Data and Simulation Engineer to build state of the art software technologies for use in a wide variety of engineering disciplines, ranging from networked controls to unique modeling and simulation technologies for national security applications. Oak Ridge National Laboratory supports unique research needs for the Department of Energy and other Government agencies with goals ranging from improvements to energy efficiency, transitioning to renewable energy, improving the resiliency of the national electric infrastructure, and growing national defense. Applications will focus on discrete event simulation and utilization of machine learning approaches for scalable simulation. The Software systems engineer will play an integral role in prototyping, demonstrating, and transitioning to production complex systems to meet these diverse objectives. This position resides in Systems Engineering and Cybernetics Group in the Computational Sciences & Engineering Division of the Computing & Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL).

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

Major Duties/Responsibilities:
Work with a team to move research concepts from exploratory prototype to delivered systems.
Research, develop and implement machine learning-driven algorithms for improved computational efficiency and scalability.
Apply sophisticated computing and machine learning capabilities to solve scientific challenges within ORNL.
Build, test, and maintain software elements of these systems.
Support modeling and simulation activities to exercise software elements.
Support field exercises to demonstrate system capabilities.
Provide technical leadership for software development teams.
Mentor new and junior technical staff.

Basic Qualifications:
A master’s degree in computer science, electrical or computer engineering, or other field relevant to the job duties.
4+ years of systems software experience.
Experience developing machine learning approaches for scalable simulation and discrete event simulation.
Experience programming in Python and C++.

Preferred Qualifications:
6 or more years of experience relevant to the job duties.
Experience with modelling and simulation of complex, interdisciplinary systems.
Extensive experience working with PyTorch and TensorFlow.
Knowledge of computer architecture, computer networking, and experience with the development of virtualization technologies and/or computer system simulations.
Experience in software architecture and enterprise-scale application development for sophisticated scientific projects.
Extensive experience in Internet of Things (IOT) applications, machine learning, cloud-based software deployment, and embedded systems.
Experience in leading and working in Agile software development environments.
Excellent interpersonal skills for working within a highly diverse team, as well as strong oral and written communications skills, good organizational habits, and a high degree of personal motivation.
A commitment to lifelong learning.

Special Requirement:
Q Clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.

In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.
·
·
2023-11-02
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
2024 Computing Sciences Student Program
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Description2024 Computing Sciences Student Program - 100218
Division: AC-Computing

Spend Your Summer Learning and Earning at One of the World's Leading Centers for Computational Science!

Berkeley Lab, located in Berkeley, CA, is a world leader in computing, biological, physical, materials, chemical, and energy sciences research. For students majoring in Computational Science, Computer Science, Data Science, Mathematics, and related fields, Berkeley Lab Computing Sciences hosts a 10–12-week research summer program that provides students with the opportunity to gain research experience. Participants will work on projects in areas such as computational research, high-performance computing, and high-speed networking, or at the interface of several disciplines, under the guidance of one or more staff members.

Summer students will work on projects within one of the four divisions in the Computing Sciences Area: Applied Mathematics and Computational Research Division, Energy Sciences Network (ESnet), the National Energy Research Scientific Computing Center (NERSC), and the Scientific Data Division.

This program is geared toward undergraduate students between their junior and senior years who have completed core courses in Computer Science, Mathematics, and related areas of study or graduate students in any computing sciences-related discipline. Projects are designed so that students will complete a significant portion of the work during the 12 weeks. The exact starting date is at the mutual convenience of the students and the needs of the program.

Applied Mathematics and Computational Research Division
The Applied Mathematics & Computational Research Division conducts research and development in mathematical modeling, simulation and analysis, numerical algorithm design, computer system architecture, quantum information science, computational science, and high-performance software implementation.
• Learn more about the Applied Mathematics & Computational Research Division (https://crd.lbl.gov/divisions/amcr/about-amcr/)

Energy Sciences Network (ESnet)
The Energy Sciences Network (ESnet) is a high-performance, unclassified network built to support scientific research. ESnet provides services to more than 50 DOE research sites, including the entire National Laboratory system, its supercomputing facilities, and its major scientific instruments. ESnet also connects to 140 research and commercial networks, permitting DOE-funded scientists to productively collaborate with partners worldwide.
• Learn more about ESnet (https://www.es.net/about/)
• Learn more about specific projects available (https://sites.google.com/es.net/esnet-careers/student-program)

National Energy Research Scientific Computing Center (NERSC)
The National Energy Research Scientific Computing Center (NERSC) is the primary scientific computing facility for the Office of Science in the U.S. Department of Energy. As one of the largest facilities in the world devoted to providing computational resources and expertise for basic scientific research, NERSC is a world leader in accelerating scientific discovery through computation.
• Learn more about NERSC (https://www.nersc.gov/about/)

Scientific Data Division
The Scientific Data Division (SciData) transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures with scientific partners.
• Learn more about Scientific Data Division (https://crd.lbl.gov/divisions/scidata/about-scidata/)

Requirements:
Students must be enrolled in a full-time academic program at an accredited college or university. Proof of enrollment is required.

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=271450 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Computational Scientist (m/f/d) for Experimental AI Accelerator Systems
·
Leibniz Supercomputing Centre
·
Munich, Germany
DescriptionYou are looking for an employer you can count on? Join us!
We are looking to expand our team dealing with experimental AI (accelerator) systems.
Computational Scientist (m/f/d) for Experimental AI Accelerator Systems

This is what you can expect from us:
• Access to latest AI and high-performance computing hardware (AI accelerators, GPUs, CPUs)
• Contact with technology providers and developers (hardware/software)
• User projects with novel research approaches
• National and European collaboration partners and projects
• Friendly, open and international work environment
• Opportunities to develop your own ideas


The renumeration is regulated within the guidelines of the Collective Labour Agreement.
For the vacancy we can offer you salary group 13.
We have a flexible working time model with electronic time recording.
According the Collective Labour Agreement you are entitled to 30 days of annual leave.
The working time is 40 hours, from Monday to Friday. Part-time is possible
If you work overtime, you can take the hours for compensatory time-off.
The contract is limited for 24 month, with extention pending.
RequirementsThis is what we expect from you • Proficiency working in Linux environments • Extensive knowledge about and practical skills applying Machine Learning/AI applications, frameworks and methods and models (e.g. Python, PyTorch, JAX, etc.) • Willingness to keep up with current development and to learn new technologies • Good German or English writing and presentation skills • Friendly personality to foster contact with users in second and third level support • Master’s degree in computer or data science, or other areas of scientific computing, or at least 3 years of applied data analytics and machine learning / AI experience in research environments These additional skills are appreciated: • Extended knowledge of AI methods, e.g. in Natural Language Processing (NLP), etc. • Git, GitLab, CI/CD
Company DescriptionThe LRZ in a nutshell: Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital trans- formation of science, we are traditionally ahead of the game. What can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground breaking research. We offer flexible work schemes for an optimal work life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share exper iences, constantly review and improve our processes, and are proud that our service quality and data security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX).
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Optimization Machine Learning Postdoctoral Researcher
·
Lawrence Berkeley National Laboratory
·
Remote
DescriptionOptimization Machine Learning Postdoctoral Researcher - 100003
Division: AM-Applied Mathematics and Computational Research

Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research (AMCR, https://amcr.lbl.gov/) Division has an opening for a Postdoctoral Fellow to join the team.

In this exciting role, you will serve as part of an integrated team of computational and data scientists to design and deliver novel zeroth-order mathematical optimization and machine learning algorithms, models, and software to accelerate scientific discovery.

What You Will Do:
• Contribute to the design and analysis of algorithms for mathematical optimization and machine learning, and to the modeling for complex design, decision, and inference problems.
• Collaborate in the development and application of software instantiations of numerical algorithms.
• Document work and results in the form of journal papers and conference proceedings, and present work and results at scientific meetings and conferences.
• Bring creative and innovative perspectives by proposing algorithmic approaches, models, and solutions.
• Engage and interact with multidisciplinary science and engineering teams.
RequirementsWhat is Required: • Ph.D. degree in applied mathematics, computer/computational science, data science, operations research, or a related field is required. • Fundamental knowledge of mathematical optimization, statistics, or machine learning. • Demonstrated experience in designing or applying computational methodologies. • Ability to work effectively in a team. • Demonstrated ability to prepare research results for publication and presentation or to prepare software for use by others. One or more of: • Analyzing mathematical/statistical algorithms. • Designing randomized, stochastic, or derivative-free algorithms. • Developing parallel algorithms and software. • Experience with machine learning applications and development. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ Notes: • This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. • This position is represented by a union for collective bargaining purposes. • The monthly salary range for this position is $6431-$8642 and is expected to start at $7843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • Work may be performed on-site, hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271476 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Network Engineer - 97587
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionNetwork Engineer - 97587
Division: SN-Scientific Networking

POSITION: Lawrence Berkeley National Laboratory has multiple openings for a Network Engineer in Berkeley, CA.

Duties: Consult and collaborate with ESnet users, ESnet Site Coordinators, and peer engineering and operations teams at Research and Education (R&E) networks and Regional Optical Networks (RONs). Design, implement, and support network infrastructure and peering architectures to support ESnet and science requirements. Configure, troubleshoot, and analyze network protocols (including IPv4 and v6, BGP, SR, ISIS) and advanced IP network services (including MPLS, RSVP, L2 and L3 VPNs). Develop, implement and use automation (commercial and in house developed) and tooling technologies to measure and improve network performance. Configure and deploy Juniper QFX and Nokia SR routers. Install Juniper QFX routers at remote locations by directing remote hands technicians. Procure 1/10/100 Gigabit per second Ethernet telecommunication circuits. Update Configuration Management Database (CMDB) with customer provisioning info. Troubleshoot telecommunication circuits experiencing hard- failures (e.g. Loss-of-signal or link-down) and soft-failures (e.g. incrementing FCS or other errors). Provide end-user consulting on network-related topics.

Benefits: This full salary range of this position is between $ 118,692 to $ 175,320 per year depending upon candidate's full skills, knowledge, and abilities, including education, certifications, and years of experience.
RequirementsRequirements: Employer will accept a Master’s degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 24 months of experience in the job offered or in a computer- related occupation. This position is eligible for LBNL’s Employee Referral Program benefit(s). How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271481 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
System Engineer/Administrator (m/f/d) for Experimental AI Accelerator Systems
·
Leibniz Supercomputing Centre
·
Munich, Germany
DescriptionYou are looking for an employer you can count on? Join us!
We are looking to expand our team dealing with experimental AI (accelerator) systems.
System Engineer/Administrator (m/f/d) for Experimental AI Accelerator Systems
This is what you can expect from us:
• Access to latest AI and high-performance computing hardware (AI accelerators, GPUs, CPUs)
• Contact with technology providers and developers (hardware/software)
• User projects with novel approaches
• National and European collaboration partners and projects
• Friendly, open and international work environment
• Opportunities to develop your own ideas


The renumeration is regulated within the guidelines of the Collective Labour Agreement.
For the vacancy we can offer you salary group 13.
We have a flexible working time model with electronic time recording.
According the Collective Labour Agreement you are entitled to 30 days of annual leave.
The working time is 40 hours, from Monday to Friday. Part-time is possible
If you work overtime, you can take the hours for compensatory time-off.
The contract is limited for 24 month, with extention pending.
RequirementsThis is what we expect from you • Proficiency working in Linux environments • Considerable knowledge in one or more of these areas: o Administration of High Performance Systems (for AI and Data Analytics) which includes amongst others ▪ Workload Management/Scheduling (e.g. Slurm, etc.) ▪ Low latency fabrics (e.g. InfiniBand) and Ethernet ▪ Fabric attached high-performance storage (e.g. GPFS, NFS, RDMA) o Management of cluster systems o Authentication/Authorization (e.g. LDAP, Shibboleth, Keycloak, etc.) • Comfortable using automated tools for deployment and configuration management (i.e. infrastructure as code, e.g. Ansible, Terraform), but not afraid to script on CLI, either • Practical knowledge in architecting/designing, deploying and maintaining software and hardware systems based on components/technologies as listed above • Friendly contact with colleagues/collaboration partners, and where necessary with users in higher level support • Good German and/or English writing and presentation skills • University degree in computer or data science, or other areas of scientific computing, or at least 3 years of practical experience in system administration/engineering These additional skills are appreciated: • Git, GitLab, CI/CD • Machine Learning/AI: Application, frameworks, methods • OS-level virtualization/containerization
Company DescriptionThe LRZ in a nutshell: Since 1962, Bavarian unive rsities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital trans- formation of science, we are traditionally ahead of the game. What can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground breaking research. We offer flexible work schemes for an optimal work life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share exper iences, constantly review and improve our processes, and are proud that our service quality and data security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX).
·
·
2023-10-31
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Network Engineer - 98635
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
DescriptionNetwork Engineer - 98635
Division: SN-Scientific Networking

POSITION: Lawrence Berkeley National Laboratory has multiple openings for a Network Engineer in Berkeley, CA.

Duties: Consult and collaborate with ESnet users, ESnet Site Coordinators, and peer engineering and operations teams at Research and Education (R&E) networks and Regional Optical Networks (RONs). Design, implement, and support network infrastructure and peering architectures to support ESnet and science requirements. Configure, troubleshoot, and analyze network protocols (including IPv4 and v6, BGP, SR, ISIS) and advanced IP network services (including MPLS, RSVP, L2 and L3 VPNs). Develop, implement and use automation (commercial and in house developed) and tooling technologies to measure and improve network performance. Configure and deploy Juniper QFX and Nokia SR routers. Install Juniper QFX routers at remote locations by directing remote hands technicians. Procure 1/10/100 Gigabit per second Ethernet telecommunication circuits. Update Configuration Management Database (CMDB) with customer provisioning info. Troubleshoot telecommunication circuits experiencing hard-failures (e.g. Loss-of-signal or link-down) and soft-failures (e.g. incrementing FCS or other errors). Provide end-user consulting on network-related topics.

Benefits
This full salary range of this position is between $118.692 to $175.320 per year depending upon candidates’ full skills, knowledge, and abilities, including education, certifications, and years of experience.
RequirementsRequirements: Employer will accept a Master’s degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 24 months of experience in the job offered or in a computer-related occupation. This position is eligible for LBNL’s Employee Referral Program benefit(s). How To Apply Apply directly online at http://50.73.55.13/counter.php?id=271482 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
·
·
2023-11-03
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
IT Analyst/Programmer (x2)
·
RENCI
·
Chapel Hill, NC
DescriptionThis position’s primary responsibility is to manage the virtual/container IT infrastructure and underlying services in the RENCI hybrid cloud environment. The Virtualization Analyst will serve as a systems administrator and systems integrator on our team with the following key responsibilities:
- Perform administration of OpenShift, Kubernetes, and related pod/container technologies (e.g., Docker).
- Align existing technologies and platforms to a unified virtualization standard across multiple data centers.
- Deploy and maintain a virtualized networking solution with support for multiple technology stacks, such as VMware and OpenShift.
- Design, develop, and deploy Kubernetes-based virtual applications in collaboration with researchers and end users.
- Provide ongoing support for existing Kubernetes and OpenShift applications.
- Lead DevOps efforts to incorporate open source tools, automation, and cloud resources to create operational efficiencies.
- Implement continuous integration and continuous delivery to limit manual testing and troubleshooting and that allow software developers to focus on development.
- Provide technical support and guidance for RENCI projects that involve local and national collaborations.

This is an opportunity to broaden your capability to automate and build modern-day cloud and DevOps skills.
RequirementsEducation Requirements: Master’s and 1-2 years’ experience; or Bachelors and 2-4 years’ experience; or will accept a combination of related education and experience in substitution. Qualifications and Experience: - Strong skills with pod and/or container technologies and infrastructure, such as Kubernetes, Red Hat OpenShift, VMware Tanzu, Docker, Podman, Singularity - Strong experience hosting an application on GCP using Compute Engine, App Engine, Cloud SQL, Kubernetes Engine, and Cloud Storage. - Experience with Red Hat Enterprise Linux or derivatives. - Working knowledge with one or more programming tools: Bash or Python. - Strong experience with managing Kubernetes in the cloud (GKE, AKS, or EKS). - Experience with test and build systems such as Jenkins. - Working knowledge of tools like Git, GitHub and DockerHub. - Experience with Software-Defined networking solutions such as VMware NSX-T. - Strong knowledge of data center storage, specifically NetApp storage design and support. - Strong experience with IT service management (ITSM) methodologies and tools. - Experience collecting, organizing, and analyzing asset and configuration information in support of change management functions. - Working knowledge of information technology concepts, including a range of hardware, software, and infrastructure. - General operational experience, including incident and problem management, configuration management, capacity management, vulnerability management, and troubleshooting IT infrastructure issues - Ability to apply independent judgement to plan and coordinate project activities. - Strong interpersonal skills and ability to deal effectively in a team environment. - Excellent written and verbal communication, interpersonal skills, and analytical abilities. - Experience presenting (both written and verbal) information to diverse audiences. Preferred Qualifications: - Experience managing Kubernetes storage (PV, PVC, NetApp Trident) - Experience with Kubernetes networking (Services, Endpoints, DNS, Load Balancers) - Experience with cloud storage (S3, object storage) - Experience with test and build systems such as Jenkins - Working knowledge of monitoring technologies (Nagios, Loki, Prometheus, Grafana) - Familiarity with data center best practices. - Experience with security, hardening, and compliance such as CIS and NIST - Experience with GPU-based virtualization and High Performance Computing - Demonstrated knowledge of effective strategies for working with a diverse, cross-functional group of stakeholders, both technical and non-technical. - Ability to independently manage multiple assignments with competing priorities and adapt quickly when those priorities change. - Experience in a Higher Education environment is a plus. - Experience in a Dev-Ops environment is a plus. - Ability to lift, move, and rack up to 23kg.
Company DescriptionAt the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data. We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll: -Spend your time solving the interesting and unique problems of research and development. -Shape your future through experimentation and unfettered access to premier education and research. -Make connections to people and projects that ignite your passion. We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse. Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond
·
·
2023-09-29
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Researcher – Mathematical Optimization for Energy Systems
·
National Renewable Energy Laboratory
·
Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Postdoctoral-Researcher---Mathematical-Optimization-for-Energy-Systems_R11489

The Complex Systems Simulation and Optimization (CSSO) Group in the NREL Computational Science Center has an opening for a full-time Postdoctoral Researcher – Computational Science, with emphasis on mathematical optimization and its application to the design and control of energy systems. We are looking for a dynamic researcher with a strong technical background to help us transform our renewable energy future through advanced automation, control and decision making.

The successful candidate will have extensive experience with mathematical optimization formulations and algorithms and their application to physical systems. Additionally, the candidate will be familiar with parallel algorithmic approaches for large-scale linear, nonlinear, integer, and stochastic optimization problems. We anticipate that the research will involve integrating Artificial Intelligence (AI) techniques, such as reinforcement learning (RL), with classical mathematical optimization approaches and implementations. We seek candidates capable of pursuing research directions that combine these algorithmic components, using implementations that are suitable for effective utilization of the modern parallel computing architectures that are available at NREL. Candidates with creative problem-solving skills, interest in cross-disciplinary collaboration, and a passion for the mission and goals of both NREL and EERE are of particular interest.

Responsibilities:

Collaborate with domain experts to identify where mathematical optimization constitutes a viable approach and maintain awareness of optimization-related research both at NREL and in the literature more generally.
Adopt existing – or develop new – mathematical, computing, and simulation frameworks required to implement and evaluate the performance of optimization algorithms and solutions.
Creatively identify new opportunities to leverage AI/RL to augment or enhance classical optimization algorithms and/or formulations.
Author publications and contribute to proposals to sustain research directions.
RequirementsBasic Qualifications Must be a recent PhD graduate within the last three years. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Experience formulating optimization problems in an algebraic modeling language, e.g., Pyomo, JuMP, PuLP, GAMS. Experience with mathematical optimization solvers, e.g., CPLEX, Gurobi, Xpress, Cbc, Ipopt, and their capabilities. Good understanding of optimization fundamentals, both computational and mathematical. Preferred Qualifications Familiarity with distributed computing frameworks such as MPI and OpenMP Experience with Pyomo and/or JuMP Experience programming in Python and/or Julia Experience with scalable machine learning frameworks, e.g, PyTorch Experience working with diverse, inclusive, and cross-disciplinary research teams
Company DescriptionAbout NREL | Transforming Energy Through Science NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington, DS https://www.nrel.gov/
·
·
2023-11-06
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Researcher – Surrogate Modeling for Turbulent Flows
·
National Renewable Energy Laboratory
·
Golden, CO
DescriptionAPPLY Online At: https://nrel.wd5.myworkdayjobs.com/NREL/job/Golden-CO/Postdoctoral-Researcher---Surrogate-Modeling-for-Turbulent-Flows_R11504

The Computational Sciences Center at NREL has an opening for a postdoctoral researcher on a newly funded project on learning reduced models for turbulent flow physics. The researcher will be part of a multi-institution and interdisciplinary team that has funding through the DOE Office of Science Advanced Scientific Computing Research Program. The goal of the project is to leverage high-fidelity physics solvers to learn reduced models of physical phenomenon of interest to offshore wind.

The postdoctoral researcher will work with NREL staff and external collaborators on developing algorithms and tools for a paradigm of data-driven modeling of computational fluid dynamics (CFD) representative of wind farm physics. The responsibilities for this position include:

Developing comprehensive high-fidelity datasets representative of offshore wind farm physics
Developing techniques for physics-informed feature extraction from high-fidelity datasets
Developing surrogate models for wind farm flow
Developing algorithms for uncertainty quantification of the surrogate models
In addition, the successful candidate will be able to work independently, as well as in a large collaborative team with researchers from NREL, academia, and other national laboratories. Join our dynamic team and help build the future of wind energy simulations on the next generation of supercomputers.
RequirementsBasic Qualifications Must be a recent PhD graduate within the last three years. * Must meet educational requirements prior to employment start date. Additional Required Qualifications The candidate will have excellent writing, interpersonal, and communication skills and will be expected to publish results in high-impact technical journals and present work at conferences, symposia, and review meetings. The position additionally requires: A deep understanding of numerical methods for PDEs for the solution of large linear systems arising in turbulent-flow simulations, Proficiency in modern C++ and Python programming, Experience developing software in a parallel programming environment, Established publication record in peer-reviewed journals. Preferred Qualifications · Experience with model order reduction techniques, · Experience training and evaluating machine learning models, · Experience designing APIs for multi-library integration, · Experience in a Linux-based high-performance computing environment, · Experience with GPU programming models (e.g., CUDA, ROCm), · Expertise in git and GitHub version control.
Company DescriptionAbout NREL | Transforming Energy Through Science NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington, DS https://www.nrel.gov/
·
·
2023-11-06
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Research Scientist
·
Renaissance Computing Institute (RENCI)
·
Chapel Hill, NC
DescriptionThe incumbent should be highly motivated and detail-oriented, a strategic thinker, and a team player, with a demonstrated ability to solve problems and make decisions. In this role, you will:

Provide Domain-Specific Expertise: Use and share your expertise with user engagement and user-centered design to benefit projects, designing (from information gleaned through collaboration and engagement) organizational systems that meet user needs. Lead user outreach activities, including expanding underrepresented community participation. Deploy innovative methods to engage communities. Provide domain and data science knowledge. Lead efforts to apply machine learning and other analytic tools to problem-solving domains.

Provide interdisciplinary leadership and engagement: Lead collaborative groups and activities. Monitor and track project milestones and deliverables. Confer with project personnel to identify and resolve problems. Recognize areas for internal improvement and lead the development of plans to implement updated or new processes and methods to facilitate project outcomes.

Engage with relevant stakeholders: Work with colleagues to develop tools and methods to enhance data integration and analysis. Collaborate with software engineers and researchers to help design analytic systems to advance scientific discovery. Develop and expand RENCI partnerships across the UNC campus, other academic institutions, government, and industry. Work with relevant business offices and project leadership to develop project budgets. Collaborate with relevant teams to produce reports.

Manage Projects and Programs: Provide thought leadership and program management, including strategic planning, for large, collaborative project proposals, and develop the concept and teaming activities.

Add to RENCI’s knowledge base: Contribute to the organizational best practices library knowledge base, documenting standards and processes and developing and facilitating staff training supporting large collaborative projects, including team science and community outreach. Develop a research portfolio within an area of expertise.
RequirementsRequirements: Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure. Experience conducting independent and collaborative research. Demonstrated ability to lead research outreach initiatives, including citizen science and engagement of underrepresented communities. Technical and Research-Oriented Skills: -Ability to use and incorporate various hardware and software packages to support project outcomes, researching and identifying relevant new technologies and making recommendations for use and purchase, as needed. -Technical knowledge of analytics and data science and expertise with data curation, data management and sharing, data analysis, and cloud computing technologies. -Experience with grant proposal development and execution, including gathering requisite documentation and determining budgets. -Experience working collaboratively to develop tools and methods to enhance data integration and analysis. -Experience collaborating with software engineers and researchers to help design analytical systems to advance scientific discovery. -Experience facilitating citizen science methodology. -Knowledge of team science principles. Project Planning and Management: -Experience leading research projects, directing team members, and interacting with software engineers. -Ability to analyze and report project risks and recommend risk mitigation measures. Proven ability to lead complex interdisciplinary project initiatives, develop and implement program strategies, and manage multiple projects simultaneously, if needed. -Ability to edit and analyze scientific and technical informational materials or content. -Ability to write according to correct English usage and appropriate style guide or industry standards and generate routine project reports. Interpersonal Skills: -Ability to constructively engage research project staff to facilitate project outcomes. -Experience establishing and maintaining various positive, constructive working relationships. -Knowledge of internal departmental workings relative to external client and stakeholder expectations. -Strong collaboration and relationship-building skills. -Demonstrated soft skills and ability to think strategically.
Company DescriptionAre you ready to go beyond the state of the art? At the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data. We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll: -Spend your time solving the interesting and unique problems of research and development. -Shape your future through experimentation and unfettered access to premier education and research. -Make connections to people and projects that ignite your passion. We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse. Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond
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·
2023-10-31
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Kubernetes Platforms Systems Engineer (Hybrid Eligible)
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Oak Ridge National Laboratory
·
Oak Rige, TN
DescriptionThe Organization:

The National Center for Computational Sciences (NCCS) in the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory is seeking a Senior level Kubernetes Platform Systems Engineer to play a key role in improving security, performance, and reliability of the NCCS computing infrastructure which supports multiple highly ranked Top500 Supercomputers, including the world’s first exaflop system, Frontier.



The Team:

In this role you will work in the Infrastructure team within the the HPC Infrastructure and Networking Group to support all activities of our supercomputer center.



Major Duties/Responsibilities:

Manage technical services and technical projects, applying advanced knowledge and experience to ensure our Kubernetes platform remains reliable, available, and fast
Use advanced knowledge and experience, serving as lead or technical professional to identify problems and provide solutions to improve the reliability, scalability, performance, and efficiency of our services
Provide a lead role in response, investigation and correction of service issues all the way from bare metal through the OS to the application code, including technically complex problems spanning a diverse set of areas
Contribute as a senior technical resource for the team to define and implement best practices and standards within the organization
Serve in a technical lead role working vendors to resolve hardware and software problems
Participate in an on-call rotation providing 24-hour, 7-day support and off-hours maintenance windows
Serve as a senior technical resource working with scientific and technical users of the NCCS to help them use Kubernetes


Basic Qualifications:

Bachelor’s degree or an equivalent combination of education and experience
At least 8 years of relevant technical experience


Preferred Qualifications:

8+ years of experience working as an SRE/Systems Administrator/Systems Engineer
Excellent interpersonal/communications skills, and the ability to work as part of a team
Experience with Red Hat OpenShift and appropriate management tools
Experiencing using image registries such as Quay or Harbor
Understanding of networked computing environment concepts
Working knowledge of Unix systems fundamentals and common network protocols
Ability to develop and maintain programs and scripts that aid in the operation and automation of tasks using various shell and scripting languages (primarily bash, Python, and Go)
Working knowledge of tools such as Prometheus, Nagios, and Grafana to monitor systems, metrics and create dashboards
Working knowledge of Infrastructure-as-Code tooling such as Terraform, Helm, and Puppet
Working knowledge of CI/CD tooling and GitOps
Experience with code review and familiarity with tools like git, GitHub and GitLab


Special Requirements:

This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.



Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.



Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Researcher – Multimodal Surrogates for Bayesian Optimization
·
National Renewable Energy Laboratory
·
Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Postdoctoral-Researcher---Multimodal-Surrogates-for-Bayesian-Optimization_R11469


The AI, Learning and Intelligent Systems (ALIS) Group in the NREL Computational Science Center has an opening for a full-time Postdoctoral Researcher in the field of Bayesian optimization and surrogate modeling. We are looking for a dynamic researcher with a strong technical background in statistics, optimization, sampling, and algorithm development for large-dimensional black-box problems to help us transform our renewable energy future through novel active learning approaches.

The successful candidate will have exposure to optimization problems arising across the NREL mission area; and will develop novel algorithms that are targeted at the various problem characteristics encountered in our applications (e.g., large-scale, multi-modal, multi-fidelity, multi-physics data).

We seek candidates capable of devising creative approaches that tie together advanced statistical techniques, dimension reduction, surrogate modeling and sampling methods to achieve improved active learning strategies for optimization and uncertainty quantification.

Candidates must have strong problem-solving skills, a strong interest in cross-disciplinary collaboration, and a passion for the mission and goals of both NREL and the Office of Energy Efficiency & Renewable Energy.

Responsibilities:
• Closely collaborate with members from the Data Analysis and Visualization Group and ALIS Group on statistics and optimization developments.
• Develop multimodal surrogate models, dimension reduction, and active learning algorithms to solve target applications in optimization and uncertainty quantification.
• Creatively identify new opportunities for the developed approaches across the NREL mission space.
• Author publications in top-tier venues and contribute to proposals to sustain research directions.
RequirementsBasic Qualifications Must be a recent PhD graduate within the last three years. * Must meet educational requirements prior to employment start date. Additional Required Qualifications • Experience with real-world multimodal data and optimization applications. • Experience in using parallel computing and high-performance computing. Preferred Qualifications • Demonstrated experience developing approaches for statistical modeling, dimension reduction, and numerical optimization algorithms. • Demonstrated experience working in interdisciplinary teams. • Demonstrated experience in collaboratively working on large code bases.
Company DescriptionAbout NREL | Transforming Energy Through Science | https://www.nrel.gov/ NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington DC
·
·
2023-11-07
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Research Scientist, Microelectronics
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Oak Ridge National Laboratory
·
Oak Rige, TN
DescriptionOverview:

The Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL) is seeking a senior scientist to lead a multi-disciplinary research group for a prospective microelectronics program. This new research program at ORNL will develop microelectronics solutions for the Post Moore Era. The thrust areas of this initiative include, but are not limited to, the following: topological electronics, analog electronics, and integrated photonics. With substantial institutional investments in equipment and facilities, as well as recent and expected increases in federal funding from the Department of Energy (DOE) and other federal agencies, the microelectronics initiative is positioned to experience rapid growth. Building on this solid foundation, the successful candidate will develop ORNL capabilities to address key challenges associated with beyond CMOS hardware and associated software ecosystem. In addition, the candidate will support ORNL/ CCSD’s science agenda, will lead the effort to respond to new funding opportunities, and will guide the ongoing growth and development of the research staff that will carry out that agenda. A successful initiative lead will build upon internal and external investments to cement ORNL’s status as a world-class research organization in microelectronics of the future.



This position will be part of the Beyond Moore Group within the Advanced Computing Systems Research Section in the Computer Science and Mathematics Division (CSM).

The Advanced Computing Systems Research Section explores the impact that fundamental changes in computing technologies and systems will have on the DOE and ORNL mission.

Our work has been sponsored by DOE, DARPA, NSF, and others, and has resulted in numerous awards including ACM Gordon Bell prizes, Best Paper awards, and Early Career recognition.

CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering.



Major Duties/Responsibilities:

The major duties and responsibilities of the position include, but are not limited to, the following:

Oversee high quality research in areas related to Microelectronics.
Collaborate with scientists in the Physics Division, Computational Sciences Division, Quantum Science Center, and other organizations at the laboratory to provide a unified vision and execution plan for microelectronics projects within Mentor early career research staff, postdocs, and students.
ORNL.
Collaborate with the Quantum Science Center and the Center for Nanophase Materials (CNMS) at ORNL to facilitate team members’ ability to simulate fundamental materials science properties,
Collaborate with scientists outside of the laboratory to advance the scientific mission of the group, laboratory, the Department of Energy, and other sponsors.
Mentor early career research staff, postdocs, and students.
Interact with the appropriate program offices and other agencies to develop and maintain program funding for basic and applied research in relevant areas.
Develop new research directions as a basis of continued funding and the overall health of the initiative.
Write peer-reviewed papers, technical reports, and proposals for internal and external release and represent the organization by giving technical presentations in large public forums.


Basic Qualifications:

Degree in Computer Science, Mathematics, or related STEM discipline.

6+ years of relevant research experience outside of degree.

Established track record of research in microelectronics.

Demonstrated success in program development.

Experience in leadership and management, including both staff and program leadership.



Preferred Qualifications:

Ph.D. and 10+ years of experience preferred.

Extensive experience in developing, planning, organizing, leading, and managing activities of a major organizational unit within a major R&D facility, including a working knowledge of policies and guidelines that relate to administration and management of complex R&D organizations.
Extensive experience managing large projects with multi-million-dollar budgets.
Demonstrated ability to write research plans and proposals and to project a vision for future research relevant to microelectronics.
A successful record of developing research partnerships and collaborative relationships with universities, industry, and research laboratories.
Excellent communication skills and technical expertise at the highest levels of scientific enterprise.
Demonstrated ability to work in collaborative, interdisciplinary teams.


ORNL Ethics and Conduct:

As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity



Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.



Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
·
·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Software Developer IV
·
Oak Ridge National Laboratory
·
Oak Rige, TN
DescriptionOverview:

The Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL) is seeking a senior scientist to lead a multi-disciplinary research group for a prospective microelectronics program. This new research program at ORNL will develop microelectronics solutions for the Post Moore Era. The thrust areas of this initiative include, but are not limited to, the following: topological electronics, analog electronics, and integrated photonics. With substantial institutional investments in equipment and facilities, as well as recent and expected increases in federal funding from the Department of Energy (DOE) and other federal agencies, the microelectronics initiative is positioned to experience rapid growth. Building on this solid foundation, the successful candidate will develop ORNL capabilities to address key challenges associated with beyond CMOS hardware and associated software ecosystem. In addition, the candidate will support ORNL/ CCSD’s science agenda, will lead the effort to respond to new funding opportunities, and will guide the ongoing growth and development of the research staff that will carry out that agenda. A successful initiative lead will build upon internal and external investments to cement ORNL’s status as a world-class research organization in microelectronics of the future.



This position will be part of the Beyond Moore Group within the Advanced Computing Systems Research Section in the Computer Science and Mathematics Division (CSM).

The Advanced Computing Systems Research Section explores the impact that fundamental changes in computing technologies and systems will have on the DOE and ORNL mission.

Our work has been sponsored by DOE, DARPA, NSF, and others, and has resulted in numerous awards including ACM Gordon Bell prizes, Best Paper awards, and Early Career recognition.

CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering.



Major Duties/Responsibilities:

The major duties and responsibilities of the position include, but are not limited to, the following:

Oversee high quality research in areas related to Microelectronics.
Collaborate with scientists in the Physics Division, Computational Sciences Division, Quantum Science Center, and other organizations at the laboratory to provide a unified vision and execution plan for microelectronics projects within Mentor early career research staff, postdocs, and students.
ORNL.
Collaborate with the Quantum Science Center and the Center for Nanophase Materials (CNMS) at ORNL to facilitate team members’ ability to simulate fundamental materials science properties,
Collaborate with scientists outside of the laboratory to advance the scientific mission of the group, laboratory, the Department of Energy, and other sponsors.
Mentor early career research staff, postdocs, and students.
Interact with the appropriate program offices and other agencies to develop and maintain program funding for basic and applied research in relevant areas.
Develop new research directions as a basis of continued funding and the overall health of the initiative.
Write peer-reviewed papers, technical reports, and proposals for internal and external release and represent the organization by giving technical presentations in large public forums.


Basic Qualifications:

Degree in Computer Science, Mathematics, or related STEM discipline.

6+ years of relevant research experience outside of degree.

Established track record of research in microelectronics.

Demonstrated success in program development.

Experience in leadership and management, including both staff and program leadership.



Preferred Qualifications:

Ph.D. and 10+ years of experience preferred.

Extensive experience in developing, planning, organizing, leading, and managing activities of a major organizational unit within a major R&D facility, including a working knowledge of policies and guidelines that relate to administration and management of complex R&D organizations.
Extensive experience managing large projects with multi-million-dollar budgets.
Demonstrated ability to write research plans and proposals and to project a vision for future research relevant to microelectronics.
A successful record of developing research partnerships and collaborative relationships with universities, industry, and research laboratories.
Excellent communication skills and technical expertise at the highest levels of scientific enterprise.
Demonstrated ability to work in collaborative, interdisciplinary teams.


ORNL Ethics and Conduct:

As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity



Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.



Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
RequirementsOverview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking a Software Developer who will support the Incident Modeling and Computational Sciences Group in the Nuclear Nonproliferation Division, National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Participate in software development, quality assurance and life cycle management in areas related to nuclear nonproliferation and post-nuclear detonation forensics and consequence management. Advise R&D staff (e.g., nuclear engineers, physicists, chemists) with issues pertaining to code development, maintenance, and deployment, as well as computational analysis. Collaborate with researchers inside and outside ORNL to advance the technical and scientific missions of the group, laboratory, and sponsor. Interact regularly with senior scientists, program managers, group members, and prepare and present periodic reports documenting research and development activities. Publish papers with R&D staff in peer-reviewed journals, consistent with programmatic and legal restrictions regarding operational security and export control. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Basic Qualifications: An Bachelor’s Degree and a minimum of 8 years experience. A combination of education and experience may also be considered. Extensive experience with software development life cycle. Extensive experience writing and maintaining code, preferably with experience in C++, C, Python, Fortran, Java, and Qt. Extensive experience working in multi-disciplinary teams across all phases of the software development life cycle. Preferred Qualifications: Familiarity of Science and Technology issues associated with nuclear nonproliferation and counterproliferation. Extensive experience with computing technologies such as high-performance computing, embedded, and mobile. Experience working for or collaborating with DOE National Laboratories (or similar R&D organizations). Experience in work related to relevant offices within DOE and NNSA. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Experience managing or mentoring computer science professionals. For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov. Special Requirements Q clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
IT Professional – Advanced Computing
·
NREL
·
Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/IT-Professional---Advanced-Computing_R11488

The Complex Systems Simulation and Optimization (CSSO) Group in the NREL Computational Science Center has an opening for a Full-Time Advanced Computing professional with competencies in scalable advanced computing and data frameworks, who will enable the effective design and utilization of scalable accelerated applications, software, hardware, and/or workflows in support of clean energy research on-premise and in the cloud.

The successful candidate will collaborate with NREL staff and researchers on efforts to effectively carry out research and development from the atomic scale to the national scale utilizing NREL’s advanced computing capabilities in a hybrid cloud setting.

They will be part of small teams, guiding technical leadership in identifying, designing, implementing, deploying, and supporting solutions for research and development on advanced, scalable, accelerated computing hardware, which may require consideration of parallel application and workflow deployment and support, cloud architectures, hardware and library performance, and/or advanced programming requirements.

Job duties and responsibilities of the position include:

1. Architect, prototype, implement and deploy databases and data stores in support of scientific, engineering and analysis workflows in a hybrid-HPC/cloud setting.
2. Workflow architecture: Architect scientific, engineering and analysis workflows for hybrid-cloud setting including advanced scalable frameworks and systems.
3. Operations and Research Support: Identify, configure, debug, deploy, and support frameworks and workflows on scalable, accelerated advanced computing hardware and cloud architectures centered on simulations, optimization, and machine learning.
4. Collaborate with scientists, engineers and analysts on enabling utilization of advanced, scalable computing systems for NREL mission goals.
5. Design, implement, support and document multiple pathways toward supporting python at scale on NREL hybrid cloud including mpi4py on advanced networks.
6. Design, develop, implement, and support containerized workflows in a hybrid cloud setting including mitigation of cyber security vulnerabilities.
7. Design, develop, implement, and support web technology deployment that rely on scalable compute and data intensive workflows.
8. Experience in python software libraries and frameworks including high performance mpi4py.
9. Experience programming in Python, Unix Shell, Java and C.
10. Experience with database architecture and administration including PostgresSQL and MongoDB.
11. Experience with utilizing NodeJS, JavaScript and other Web technologies.
12. Experience with hybrid cloud computing including Amazon Web Services.
13. Experience in containerization and scaling including Docker and Apptainer.
14. Experience dynamically scaling execution of compute intensive workloads in the cloud.
15. Experience mitigating cyber security vulnerabilities in complex software stacks.
- An interest in renewable energy, energy efficiency and supporting technologies; wind, solar, vehicles, biomass, hydrogen, buildings, batteries, and electric grid technologies.
- Software engineering expertise coding and testing patterns, version control and CI/CD, engineering software platforms and large-scale simulation, learning and data workflows especially using open-source tools.
- Background and experience in managing software dependencies in HPC and Cloud environments with commons tools such as Modules, Conda, Spack, and containerization.
- Background and experience in developing workflows, including job scheduler integration, data management of big datasets, data movement, and data availability/sharing with remote users and systems.
RequirementsRelevant Bachelor's Degree and 5 or more years of experience or equivalent relevant education/experience. Or, relevant Master's Degree and 3 or more years of experience or equivalent relevant education/experience. Or, relevant PhD or equivalent relevant education/experience. - Complete understanding and wide application of principles, concepts and techniques in specific field. - General knowledge of related IS disciplines. - Strong leadership and project management skills. - Skilled in analytical techniques, practices and problem solving. - Advanced programming, design and analysis abilities with various computer software programs and information systems. * Must meet educational requirements prior to employment start date. Preferred Qualifications Experience in python software libraries and frameworks including high performance mpi4py. Experience programming in Python, Unix Shell, Java and C. Experience with database architecture and administration including PostgresSQL and MongoDB. Experience with utilizing NodeJS, JavaScript and other Web technologies. Experience with hybrid cloud computing including Amazon Web Services. Experience in containerization and scaling including Docker and Apptainer. Experience dynamically scaling execution of compute intensive workloads in the cloud. Experience mitigating cyber security vulnerabilities in complex software stacks. An interest in renewable energy, energy efficiency and supporting technologies; wind, solar, vehicles, biomass, hydrogen, buildings, batteries, and electric grid technologies. Software engineering expertise coding and testing patterns, version control and CI/CD, engineering software platforms and large-scale simulation, learning and data workflows especially using open-source tools. Background and experience in managing software dependencies in HPC and Cloud environments with commons tools such as Modules, Conda, Spack, and containerization. Background and experience in developing workflows, including job scheduler integration, data management of big datasets, data movement, and data availability/sharing with remote users and systems.
Company DescriptionAbout NREL | Transforming Energy Through Science | https://www.nrel.gov/ NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington DC
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·
2023-11-07
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Researcher – Scalable, Accelerated Applications and Frameworks for Advanced Computing
·
National Renewable Energy Laboratory
·
Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Researcher---Scalable--Accelerated-Applications-and-Frameworks-for-Advanced-Computing_R11487

The Complex Systems Simulation and Optimization (CSSO) Group in the NREL Computational Science Center has an opening for a Full-Time professional with competencies in advanced computing simulation, applied mathematics, optimization, machine learning and/or quantum computing research who will help to enable the effective utilization of scalable accelerated algorithms, applications, software, hardware, and/or workflows on advanced computing systems in support of clean energy research.

Supported research projects may come from a variety of scientific domains and backgrounds but frequently include topics from energy systems integration, wind energy, solar energy, batteries, vehicle efficiency and electrification, electrification, power systems, buildings, chemistry, material science, fluid dynamics, structural analysis, engineering analysis, optimization, machine learning, resource analysis, durability, and resilience.

We are particularly interested in a researcher with a background including:
Enabling scientific discovery, engineering innovation and credible energy analysis relying on advanced, parallel, scalable workflows, frameworks, simulations, optimization, machine learning and artificial intelligence frameworks and workflow deployment in high performance computing (HPC) or cloud environments.

The successful candidate will collaborate with partners including NREL staff and researchers, other national laboratory staff, university researchers, and corporate partners on efforts to effectively carry out research and development from the atomic scale to the national scale utilizing NREL’s advanced computing capabilities on- and off-premises. They will be part of small teams identifying, designing, deploying, and supporting solutions for research and development on advanced, scalable, accelerated computing hardware, which may require consideration of parallel application and workflow deployment and support, cloud architectures, hardware and library performance, utilization of machine learning, and/or advanced math and programming skills.

Job duties and responsibilities of the position include:

1. Operations and Research Support: Identifying, configuring, debugging, deploying, and supporting applications and workflows on scalable, accelerated advanced computing hardware and cloud architectures centered on simulations, optimization, and machine learning.
Application collaboration: Collaborate with NREL and research partners to identify, design, implement, and carry out execution of applications and workflows in clean energy research.

2. Research: Carry out computational and domain research, developing and using advanced algorithms, mathematics, modeling, simulation, optimization, and machine learning for clean energy systems research.

3. Community development: engage with and educate the clean energy research community through consultations, meetups, and groups to identify opportunities for ML and AI to accelerate research.

4. Evaluate and track the state of simulation, optimization, machine learning and artificial intelligence algorithms, frameworks, and workflows and their use of advanced, scalable, accelerated, and emerging computing architectures on premise and in the cloud.

5. Publications and presentations: Author, present, and assist in the preparation of technical papers, reports, and conference proceedings.
RequirementsBasic Qualifications - Relevant PhD . Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience . - Demonstrates complete understanding and wide application of scientific technical procedures, principles, theories and concepts in the field. - General knowledge of other related disciplines. - Demonstrates leadership in one or more areas of team, task or project lead responsibilities. - Demonstrated experience in management of projects. Very good technical writing, interpersonal and communication skills. * Must meet educational requirements prior to employment start date. Preferred Qualifications -An interest in renewable energy, energy efficiency and supporting technologies; wind, solar, vehicles, biomass, hydrogen, buildings, batteries, and electric grid technologies. -Ability to quickly learn new programming languages and frameworks and adapt to changing research demands and simulation scales in a fast-paced scientific, engineering and analysis environment. -Demonstrated experience developing, programming, and/or utilizing algorithms and software for advanced, scalable, accelerated Linux computing systems. -Interest in simulation, optimization, machine learning and/or energy analysis on advanced computing systems and potentially quantum computers. -Background and experience in one or more of the following would be a plus: -Background in scalable accelerated applications. -Software engineering expertise, coding and testing patterns, version control and CI/CD, engineering software platforms and large-scale simulation, learning and data workflows especially using open-source tools. -Managing software dependencies in HPC and Cloud environments with common tools such as -Modules, Conda, Spack, and containerization. -Developing workflows, including job scheduler integration, data management of big datasets, data movement, and data availability/sharing with remote users and systems. -Machine learning and artificial intelligence on scalable, accelerated computing systems. -Enabling user communities through documentation of best practices and community outreach.
Company DescriptionAbout NREL | Transforming Energy Through Science | https://www.nrel.gov/ NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington DC
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·
2023-11-07
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Research Associate - Machine Learning for Protein Design
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Oak Ridge National Laboratory
·
Oak Ridge, TN
DescriptionOverview:

Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Our capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace.



We are seeking a Postdoctoral Research Associate who will support the Biostatistics and Biomedical Informatics Group in the Computational Sciences and Engineering Division, Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL). The position will work as part of a crosscutting initiative for Enzyme Engineering funded by the ORNL Director’s Research and Development Program. The Enzyme Engineering Initiative is developing a high-throughput Design-Build-Test-Learn pipeline for engineering enzymes that catalyze reactions at materials interfaces.



In this position, you will work in a collaborative and interdisciplinary team with experimental and computational scientists to engineer proteins interacting with materials for plastics degradation, metal binding, and material synthesis. You will be expected to apply and develop machine learning approaches for protein design and to integrate these approaches with computational structural biology.



Major Duties/Responsibilities:

Perform research in machine learning-guided protein design
Integrate experimental and simulation data into machine learning workflows
Work with the team to analyze and troubleshoot results and performance of machine learning models
Present and publish research findings in scientific conferences and peer-reviewed journals
Participate in project planning and execution
Work with staff to develop new proposals
Maintain detailed and accurate records
Maintain strong dedication to the implementation and perpetuation of values and ethics
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.


Basic Qualifications:

A PhD in computational biophysics, chemistry, biology, or a related field completed within the last 5 years
Strong background in protein sequence analysis, structural modeling, and machine learning
Demonstrated ability to program in Python


Preferred Qualifications:

Experience with protein engineering and computational protein design
Experience with large language models
Experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn
Proven publication record
Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs


For additional information, please contact Dr. Serena Chen (chens@ornl.gov).



Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.



Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document


Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.



Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Data Scientist
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National Renewable Energy Laboratory
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Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Data-Scientist-II-III_R11304

NREL Data Scientist/Development Engineer
To build upon the existing research data infrastructure in the Research Operations Center within the Materials, Chemical, & Computational Science (MCCS) directorate. The mission of the MCCS directorate is to: "Enable the Nation’s energy transformation by delivering world class research, innovation, and scientific leadership focusing on advances in solar energy, renewable fuels, energy storage, reliability/durability science and computational science." This position will support our entire portfolio of data systems and architectures such as data streaming and distributed data store platforms.

This position supports the MCCS Informatics effort that is responsible for:

- Providing and maintain an intranet of research instrumentation computers and servers for a research data network (RDN).
- Adding research equipment producing data products to the RDN.
- Harvesting data from research equipment, extracting key information, and putting the data in to a minable repository.
- Integrating with the MCCS Computational Science Center to implement visualization and analysis tools for research.

The person in this position will:
- Support all the responsibilities of the MCCS Informatics activities as stated above; especially in the are expanding the RDN to equipment not on the network.
- Data cleanup and processing.
- System administration.
- Debug and fix network issues.
- Work collaboratively both with laboratory and computational scientists.
- Ensure informatics compliance with the software quality assurance procedure. ​


The successful candidate will have:

Experience programming in C++, C, Python, and SQL programming languages.
Experience with deploying and maintaining PostgreSQL databases.
Experience monitoring uptime, availability, and health and security of applications and database servers.
Experience connecting and configuring Windows and Linux computers onto networks to facilitate data harvesting.
Experience troubleshooting server and application errors to identify and resolve issues.
Experience with software development workflows and requirements including code documentation, version control through Git, Agile processes, and FAIR principles.
Demonstrated ability to work proactively and take initiative as needed in non-routine situations.
Exhibits a positive, can-do, “how can I help” attitude to help others be successful.
Ability to use independent judgment to manage and prioritize a diverse workload and complete assignments.
Ability to effectively work with and communicate clearly with staff from diverse cultural and technical backgrounds; and work collaboratively as part of a team.
Maintains a high degree of confidentiality and professionalism regarding technical and administrative activities in an environment with sensitive and proprietary information.
NREL is looking for a dynamic, motivated team member who can collaborate and communicate across functional and organizational borders, presenting solutions to users with different levels of systems and software knowledge.

The successful candidate must be comfortable learning and applying new technologies as well as collaborate with IT Operations and Support to develop application management solutions at scale. Candidates should have a strong technical background, experience leading small teams and working with clients, and an interest in the mission of NREL.

Successful applicants will be able to operate independently and perform technical tasks with a high degree of rigor and professionalism, tackle technical challenges and engineer creative solutions to application management problems, and help design a long-term vision for data systems architectures for the Data, Analysis, and Visualization group and the NREL Computational Sciences Center.
RequirementsThis position may be filled at level III or level II For level III Relevant PhD . Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience . Demonstrates complete understanding and wide application of scientific technical procedures, principles, theories and concepts in the field. General knowledge of other related disciplines. Demonstrates leadership in one or more areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Very good technical writing, interpersonal and communication skills. For level II Relevant Master's Degree . Or, relevant Bachelor's Degree and 2 or more years of experience . General knowledge and application of scientific technical standards, principles, theories, concepts and techniques. Training in team, task or project leadership responsibilities. Intermediate abilities and knowledge of practices and techniques. Beginning experience in project management. Good technical writing, interpersonal and communication skills. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Ability to write user documentation and support researchers with hands-on instruction. Ability to communicate design solutions to both technical and non-technical audiences Excellent computer skills including advanced proficiency with Microsoft Office components Word, Excel, PowerPoint, and Outlook. Familiarity with technology that supports presentations, online meetings, and video/web conferencing; especially using Microsoft Teams. An ability to work collaboratively across divisions at NREL with researchers, other software developers, database administrators, and infrastructure operators Ability to learn NREL processes and understand specific activities within the context of broader workflows. Diplomacy and the ability to handle ambiguity. Experience with data analysis, modeling, and design specific to a data warehouse Experience with the design of large scale ETL solutions integrating multiple source systems in a hybrid on-premise/cloud environment Ability to independently identify, troubleshoot, and/or resolve issues Drive to be proactive rather than reactive Adhering to internal programming and development standards/guidelines Ability to understand business processes, data entities, data producers, and data dependencies Understanding of corporate systems, data environments and BI tools Preferred Qualifications Experience in Full Stack programming (JavaScript, PHP, CSS and similar web development languages) Experience working with Amazon Web Services environments and other cloud environments Work closely with other team members and key technical resources (including the Database Administrators and Data Architect), to help design, develop, troubleshoot, and implement ETL processes supporting the data warehouse projects and enhancements Assisting with requirements gathering and designing the business process dimensional models. Develop, manage, and validate existing data models including logical and physical models of the data warehouse and source systems Develop and program test scripts to identify and manage data inconsistencies and testing of ETL processes Designing and developing exception handling and data cleansing / standardization procedures Evaluate and improve data quality throughout source systems by implementing data quality safeguards Investigate, analyze, document, and assist in resolution of data quality issues reported by business users and Information Delivery personnel. Provide production support for fiscal period financial close-out processing including manual loads and file transfers and validation of processed data
Company DescriptionAbout NREL | Transforming Energy Through Science | https://www.nrel.gov/ NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington DC
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2023-11-07
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Researcher – Computational Modeling of Multiphase Reacting Flows
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National Renewable Energy Laboratory
·
Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Researcher---Computational-Modeling-of-Multiphase-Reacting-Flows_R11531

The High-Performance Algorithms and Complex Fluids (HPACF) group in the Computational Science Center at NREL has an opening for a Full-time postdoctoral researcher to support multiphase modeling projects pertaining to bioenergy conversion processes. The researcher will develop and apply state-of-the-art two-fluid/mixture computational fluid dynamics (CFD) models to simulate reacting multiphase flows in aerated bioreactors and immobilized enzyme-based reactors. This computational modeling work will involve extending three-dimensional modeling capabilities within existing software packages such as OpenFOAM and reduced dimensional models using Cantera or other reacting flow packages. The researcher will also provide actionable guidance to experimental/industry partners on reactor operation and optimization.

Primary Duties Include:

Configuring and executing simulations, specifically of aerobic fermentation and/or enzymatic systems.
Work with collaborators at NREL and other potential partners (national laboratories, universities and industry) to identify appropriate computational models and simulations to efficiently address client needs.
Add capabilities to existing CFD modeling tools as necessary to achieve project objectives in a timely fashion, including development of kinetic or mechanistic reaction models for enzymatic conversion.
Effectively communicate and collaborate with researchers and engineers operating relevant reactor systems to define the requirements of the simulations/models, obtain necessary data as input for the simulation, and provide meaningful interpretation of the results to guide experiments, operations, and engineering designs.
Work with management and senior staff to plan and design projects, determine technical objectives, and interact with and provide regular project reports to government and/or industrial clients.
Disseminate knowledge through publications in technical journals and presentations at conferences, symposia, and review meetings. Provide reports on technical work and input to technical publications and presentations.
RequirementsBasic Qualifications Relevant PhD . Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience . Demonstrates broad understanding and wide application of engineering technical procedures, principles, theories and concepts in the field. General knowledge of other related disciplines. Demonstrates leadership in one or more areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Very good writing, interpersonal and communication skills. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Familiarity with open-source CFD and reactor modeling software, e.g. OpenFOAM and Cantera. Experience and comfort working in a collaborative environment. Strong publication record and desire to publish. Excellent technical writing, interpersonal, and communication skills. Formal training or demonstrated experience using Python for scientific data analysis. Experience with experimental or computational efforts utilizing pilot facilities or industrial collaborations. Additional Qualifications at Researcher III level: Strong publication record in multiphase modeling Record of successful project lead experience At least 2 years of relevant experience beyond PhD Preferred Qualifications Familiarity with open-source CFD and reactor modeling software, e.g. OpenFOAM and Cantera. Experience and comfort working in a collaborative environment. Strong publication record and desire to publish. Excellent technical writing, interpersonal, and communication skills. Formal training or demonstrated experience using Python for scientific data analysis. Experience with experimental or computational efforts utilizing pilot facilities or industrial collaborations.
Company DescriptionAbout NREL | Transforming Energy Through Science | https://www.nrel.gov/ NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington DC
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2023-11-07
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Researcher – Computational Modeling of Phase-Changing Flows
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NREL
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Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Postdoctoral-Researcher---Computational-Modeling-of-Phase-Changing-Flows_R11533

Onsite Golden, CO or REMOTE

The High-Performance Algorithms and Complex Fluids (HPACF) group in the Computational Science Center at NREL has an opening for a full-time postdoctoral researcher to support multiphase modeling projects pertaining to electrothermal energy storage, battery manufacturing and green steelmaking. The researcher will develop and apply multiphase/phase-field models to simulate solid/liquid phase transitions and yield stress fluids with and without chemical reactions. Applications may include structural deformations due to surrounding or penetrating fluids. The implementation of these models will involve original development of performance portable scientific software development and/or extensions of existing modeling software.

Primary Duties Include:

Add capabilities to existing scientific software tools as necessary to achieve project objectives, including development of models for phase transitions that incorporate molecular-level physics.
Work with collaborators at NREL and other potential partners (national laboratories, universities, and industry) to identify appropriate computational models and/or model extensions, and design and execute simulation and analysis campaigns to efficiently address client needs.
Effectively communicate and collaborate with researchers and engineers operating relevant reactor systems to define the requirements of the simulations/models, obtain necessary data as input for the simulation, and provide meaningful interpretation of the results to guide experiments, operations, and engineering designs.
Work with management and senior staff to plan and design projects, determine technical objectives, and interact with and provide regular project reports to government and/or industrial clients.
Disseminate knowledge through publications in technical journals and presentations at conferences, symposia, and review meetings. Provide reports on technical work and input to technical publications and presentations.
Requirementsthat leverage her/his expertise and demonstrated accomplishments in the following areas: Strong grasp of numerical methods in CFD and ability to implement and extend them in original or existing C++ and Python-based codes. Knowledge of multiphase continuum models for solid-liquid systems with phase-change. Ability to leverage high-performance computing resources for large-scale simulations. Use of Python for analysis and orchestration of workflows. Performing simulations studies that inform and collaborate with experimental projects. Ability to work independently and in teams and to deliver high-quality results within aggressive timelines. Track record of troubleshooting and problem-solving complex systems. Preferred Qualifications Familiarity with open-source C++/Python libraries used in CFD, e.g. OpenFOAM, AMReX, MFEM, PyFR. Experience in computational structural mechanics using finite-element or material-point methods. Strong publication record. Excellent technical writing, interpersonal, and communication skills
Company DescriptionAbout NREL | Transforming Energy Through Science | https://www.nrel.gov/ NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington DC
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2023-11-07
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Researcher – Optimization and Machine Learning for Transportation Systems
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NREL
·
Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Postdoctoral-Researcher---Optimization-and-Machine-Learning-for-Transportation-Systems_R11490-1

The Complex Systems Simulation and Optimization (CSSO) Group in the NREL Computational Science Center has an opening for a full-time Postdoctoral Researcher in Modeling, Simulation, Optimization and Machine Learning (ML) and its application to the operation and planning of transportation systems. We are looking for a dynamic researcher with a strong technical background to help us decarbonize and improve energy efficiency of transportation systems through optimization and machine learning.

The successful candidate will participate in research formulating and solving optimization problems that arise in the optimal control and operation of transportation systems, as well as processing and analyzing high-fidelity transportation data sets to formulate ML-based surrogate models useful for transportation systems planning purposes.

Our focus is primarily in energy efficient planning and operation and decarbonization of mobility systems. We seek candidates capable of pursuing research directions that involve effective utilization of the modern parallel computing architectures available at NREL as well as cloud-based computing resources. Candidates with creative problem-solving skills, interest in cross-disciplinary collaboration, and a passion for the mission and goals of both NREL and EERE are of particular interest.

Responsibilities:

Adopt existing – or develop new – optimization methods and machine learning methods to address NREL problems in energy-efficient optimal planning, operation and decarbonization of transportation systems
Model emerging technologies in transportation systems and develop high performance simulations.
Author publications and contribute to proposals to sustain research directions.
RequirementsBasic Qualifications Must be a recent PhD graduate within the last three years. * Must meet educational requirements prior to employment start date. Additional Required Qualifications At least one of: Experience formulating optimization problems Extensive experience in python programming Experience in parallel computing Preferred Qualifications Experience with transportation systems modeling and simulation. Experience with developing surrogate modeling with machine learning. Experience with scalable machine learning frameworks, e.g, PyTorch. Experience with processing and analyzing spatial-temporal transportation system data. Experience working with diverse, inclusive, and cross-disciplinary research teams.
Company DescriptionAbout NREL | Transforming Energy Through Science | https://www.nrel.gov/ NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington DC
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2023-11-07
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Research Associate - Quantum Computational Science
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Oak Ridge National Laboratory
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Oak Ridge, TN
DescriptionOverview:

Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.



We are seeking a Postdoctoral Research Associate who will support the Quantum Computational Science Group in the Computer Science and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL).



Major Duties/Responsibilities:

Performing tensor network-based simulations and developing algorithms to study quantum information science and many-body physics.
Present and disseminate results at scientific conferences, symposia, and meetings.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.


Basic Qualifications:

A PhD in Computer Science, Physics, Chemistry, Mathematics, Quantum Information/Data Science, or a related field completed within the last 5 years
A strong background in linear algebra


Preferred Qualifications:

A familiarity with quantum physics or scientific computing
Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs


Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.



Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document


Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.



Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.



Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.



Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Life Insurance, Pet Insurance, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Machine Learning Scientist - Cyber Identity and Biometrics
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Oak Ridge National Laboratory
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Oak Rige, TN
DescriptionOverview:

The Cyber Identity and Biometrics (CIB) group at Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of human and group recognition technologies to address national security and other worldwide challenges. The senior research staff position affords the unique opportunity to work with a group of talented R&D professionals and establish ORNL as a premier R&D organization by enabling true impact on critical national security missions through a teams-based approach and commitment to excellence. Our core research capabilities are biometrics, computer vision, machine learning, data analytics, computational imaging, image reconstruction, signal and image processing, and electronics. In general, CIB’s activities involve first-class interdisciplinary research with other research groups at ORNL, collaborations with private industry and academic partners across the nation, and mission-specific support for our national security research sponsors. CIB thrives in a culture of respect, diversity, curiosity, and discovery.



Job Duties and Responsibilities:

As a full-time Senior Research Staff, you will provide research and development leadership to the group that strategically advances science and technology consistent with ORNL’s aspiration to be the world’s premier R&D institution and ORNL’s science culture.
The Senior Staff bring together a group of peers with the primary goals of pursuing global scientific leadership in their field, developing a strategy to develop a world class capability, nurturing ORNL’s culture among group members, and continuing to build and scale up individual excellence and impact in R&D.
This position reports to laboratory leadership to implement the scientific vision; establishes capabilities that enable programs to excel at the forefront of science and technology; performs R&D to advance the field of knowledge and/or technology in one’s respective specialty; sets, implements, and models standards for the performance of work consistent with Environmental, Safety, Security, Health, and Quality (ESH&Q) requirements and business rules; and ensures a diverse and inclusive work environment where every employee feels safe, heard, and appreciated - a workplace that sets an example for the broader community.


The National Security Sciences Directorate conducts research and development to confront some of the nation’s most difficult security challenges and adversaries. Our directorate houses S&T leadership in cybersecurity and cyber-physical resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We draw on the Laboratory’s exceptional facilities and work closely with leading researchers in other areas at the lab such nuclear and chemical sciences and engineering, applied materials, advanced manufacturing, biosecurity, transportation, and computing. Our multi-disciplinary research teams are passionate about discovery and innovation as we create science-based solutions to complex security threats that put public safety, national defense, energy infrastructure, and the economy at risk. Our commitment to diversity: As we strive to become the world’s premier research institution in the sciences and technologies that underpin critical national security missions, we are committed to creating an inclusive environment that highly values a diverse workforce. We recognize that a breadth of perspectives, insights, and experiences are necessary to drive the level of innovation and discovery that is mission critical to national security sciences. Our commitment extends beyond our workforce to the next generation of researchers with STEM education outreach that seeks to engage a diverse range of students.



Job Duties and Responsibilities:

Initiate, lead, and perform independent and impactful R&D on an ongoing basis as evidenced by, for example, innovative S&T delivered to sponsors, successful proposals, S&T presentations, professional community engagement, inventions/patents/copyrights, publications as appropriate, etc.
Serve as a subject matter expert contributing to a wide variety of programs supporting DOE and national security needs.
Lead program development activities through sponsor engagements, preparation of proposals and white papers, participation in workshops, as well as other program development activities. Develop new research ideas supporting national security programs.
Develop a vision and implement a cohesive research strategy to ensure the success of new and ongoing research projects to position the group for future success.
Lead by example by exercising scientific integrity and ethical AI principles in proposing, performing, and communicating research. Ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures.
Exemplify a commitment to excellence in research, operations, and community engagement, and work cooperatively to leverage scientific capabilities across ORNL.
Development and implementation of algorithms and systems for improving recognition of individuals for a variety of biometrics signatures under various operational and environmental conditions.
Lead in the invention or improvement of cutting-edge algorithms for object tracking, image segmentation, image and signal enhancement, and classification and regression data-learned models.
Help the group envision, design, develop, test, and deploy recognition tools and prototypes.
The position requires development of innovative solutions for general identity and biometrics challenges, frequent and consistent review of related literature, and collaboration with other team members for the development of technical demonstrations, proposals, oral presentations, and publications.
Advance the reputation of the group and standing of the group as a whole through establishing collaborations, professional society leadership and involvement, and organization of technical events.
This position requires a passion for mission-focused National Security challenges.


Required Qualifications:

PhD with 8 years of experience or a Master's degree with 12 years of experience in Computer Science, Electrical and Computer Engineering, Mathematics, or a related field.
Proven R&D experience in computer vision, supervised, unsupervised machine learning/Artificial Intelligence (ML/AI), and image and signal processing.
Demonstrated ability to write winning proposals to government agencies in the area of national security.
Demonstrated ability to successfully lead national security projects as principal investigator.
Demonstrated ability to make significant technical contributions to projects.
Demonstrated ability to present scientific results to sponsors and technical communities, as well as professional society conferences and workshops.
Hands-on skills and experience developing impactful ML/AI software for heterogeneous, multi-modal data sets.
Excellent communication skills for conveying technical material to both scientists and non-scientists in both written and oral presentations.
Self-disciplined work ethic and eagerness to tackle challenging research problems.
Excellent interpersonal skills with a demonstrated leadership ability and a strong commitment to a team environment.


Preferred Qualifications:

Demonstrated track record in national and/or international engagements that seek to sustain and strengthen the cyber physical systems security community.
Experience with commercial and open-source biometrics recognition software and data sets. Familiarity with common machine learning and computer vision software libraries such as PyTorch, Tensorflow, OpenCV, scikit-learn, and other similar tools.
Demonstrated experience with Identity-related research and technologies, such as Identity intelligence, human recognition, and human subject research.
Experience working for or collaborating with DOE National Laboratories (or similar R&D organizations).
Familiarity with federal funding procedures, regulations, policies and practices.


Special Requirement:

This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing and designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due to the SCI, you may also be subject to random polygraph testing
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Large Scale I/O and Data Expert (f/m/ in HPC
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Leibniz Supercomputing Centre
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Munich, Germany
DescriptionYou are looking for an employer you can count on? Join us!
Large Scale I/O and Data Expert (f/m/d) in HPC

Your Role and Responsibilities:
• Evaluation and assessment of monitored I/O-patterns; diagnosing bottlenecks in the HPC in-frastructure
• Maintenance and further development of Quality Control measures to assure performance and stability of the I/O subsystems
• Development of strategies for optimization and scaling of application-specific I/O patterns
• Integration of state-of-the-art object storage with HPC applications (specifically, using the DAOS subsystem on SuperMUC-NG phase 2)
• Deployment of I/O strategies for “Big Data” and AI scenarios on HPC systems
• certified, transparent processes
RequirementsBasic Qualifications: • PhD or university (post) graduate degree, diploma, master’s degree or equivalent in a scientifi-cally oriented subject (preferred are computational science or physics/mathematics) • Good knowledge of principles and practices of I/O, both serial and parallel • Ability to lead scientific and technical efforts in HPC • Good knowledge of systems programming (especially C/C++) • Good knowledge and experience with scripting languages • Experience with serial and parallel abstraction libraries (e.g., HDF5, NetCDF, MPI-IO), knowledge of I/O design for abstraction libraries • Good oral presentation and writing skills in German and/or English • You like to share experiences and put procedures to the test in order to improve them with the team. Preferred Qualifications: • Basic knowledge of Fortran and MPI (message passing interface) • Initiative, capacity for teamwork, and creativity • Principles of Database usage • Knowledge about Quality of Service methodologies
Company DescriptionThe LRZ in a nutshell: Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital trans- formation of science, we are traditionally ahead of the game. What can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground breaking research. We offer flexible work schemes for an optimal work life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share exper iences, constantly review and improve our processes, and are proud that our service quality and data security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX).
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2023-11-08
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Researcher – Extreme Data Learning
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National Renewable Energy Laboratory
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Golden
DescriptionAPPLY Online at: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Postdoctoral-Researcher---Extreme-Data-Learning_R11390

The Computational Sciences Center at NREL has an opening for a Postdoctoral Researcher on a newly funded project on learning reduced models under extreme data conditions for design and rapid decision-making in complex systems.

The researcher will be part of a multi-institution and interdisciplinary team that has funding through the DOE Office of Science Advanced Scientific Computing Research Program.

The goal of the project is to leverage high-fidelity physics solvers to collect distributed and streamed data that are informative about rare events and use this data to learn reduced models of physical phenomenon of interest to offshore wind.

The postdoctoral researcher will work with NREL staff and external collaborators on developing algorithms and tools for a paradigm of data-driven modeling of computational fluid dynamics (CFD) representative of wind farm physics. The responsibilities for this position include:

· Developing in situ pipelines to handle vast volumes of data (in the terabyte range) streamed by NREL's advanced wind farm physics modeling software,

· Developing active data acquisition techniques that can collect data in regions of rare events,

· Applying dimensionality reduction techniques for data analysis of large-scale turbulent flows,

· Learning reduced models of turbulent flows using streamed and distributed data,

· Physical correction of reduced models using statistical and machine learning techniques.

In addition, the successful candidate will be able to work independently, as well as in a large collaborative team with researchers from NREL, academia, and other national laboratories. Join our dynamic team and help build the future of wind energy simulations on the next generation of supercomputers.
RequirementsBasic Qualifications Must be a recent PhD graduate within the last three years. * Must meet educational requirements prior to employment start date. Additional Required Qualifications The candidate will have excellent writing, interpersonal, and communication skills and will be expected to publish results in high-impact technical journals and present work at conferences, symposia, and review meetings. The position additionally requires: A deep understanding of numerical methods for PDEs for the solution of large linear systems arising in turbulent-flow simulations, Proficiency in modern C++ and Python programming, Experience processing large data sets, Basic knowledge of statistics and data reduction, Experience developing parallel software for hybrid-CPU/GPU architectures, Established publication record in peer-reviewed journals. Preferred Qualifications · Knowledge of machine learning fundamentals, · Experience training and evaluating machine learning models, · Experience designing APIs for multi-library integration, · Experience in a Linux-based high-performance computing environment, · Experience with GPU programming models (e.g., CUDA, ROCm), · Expertise in git and GitHub version control.
Company DescriptionAbout NREL | Transforming Energy Through Science | https://www.nrel.gov/ NREL, the National Renewable Energy Laboratory is a leader in the Department of Energy's effort to secure an environmentally and economically sustainable energy future. Of the 17 National Laboratories funded by the DoE, NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the US. LOCATIONS Golden, CO | Arvada, CO | Fairbanks, AK | Washington DC
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2023-11-07
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Senior Computational Fluid Dynamics Analyst
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Oak Ridge National Laboratory
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Oak Rige, TN
DescriptionOverview:

The Advanced Engineering Technologies (AET) Group is seeking a senior computational fluid dynamics analyst specializing in the use and development of computational simulation software for complex aerodynamic systems in the support of the nonproliferation mission space. This position will involve the creation and use of custom developed and off-the-shelf computational approaches in a research and development atmosphere. AET resides within the Nuclear Nonproliferation Division (NND) at Oak Ridge National Laboratory (ORNL). The NND is a division operating within the National Security Sciences Directorate. NND staff contributes world class research, technology development, risk assessment, and systems analysis related to nonproliferation and counterproliferation. The division activities play a vital role in implementation of national policy issues that strive to ensure global nuclear security. One of the major focus areas of the AET group is the development of advanced approaches to operation, characterization, and analysis of nuclear fuel cycle processes. The group specializes in the application of engineering principles supporting the characterization of processes and related materials. The AET group collaborates and works with staff from other groups within NND and ORNL to assure the full expertise of fuel cycle processes are applied to meet sponsor needs.



Major Duties / Responsibilities

The successful candidate, in collaboration with principal investigators and project management at ORNL, will participate in the development of simulation software to model complex system flows in processes relevant to the nuclear nonproliferation mission space.
The candidate will be expected to be a heavy end user of the tools generated, participate in model validation activities, identify workflow improvements, and communicate issues to the development team for tool improvement.
The candidate will also be involved in the analysis of ad hoc problem sets relevant to the nuclear nonproliferation mission space.
This individual will be expected to perform well as part of a larger project team and be capable of developing simulation software in a collaborative development environment.
In addition to these responsibilities, the candidate will be a contributor to R&D projects and will be expected to report on and brief results throughout the lifecycle of the various projects assigned to them.
In this position the candidate will be expected to effectively interact with various ORNL staff as well as internal and external sponsors.
The candidate is expected to work in a team environment with co-workers and management as well as independently; to fully document work performed in the forms of technical reports, papers and presentations; and to participate in the development of research proposals.
Excellent communication skills including verbal, presentation, and writing skills are required.
The successful candidate will interface with principal investigators, management, engineers, fabricators, modelers, and test campaign personnel.


Required Qualifications:

An M.S. in Aerospace Engineering or related field, and a minimum of 12 years of related experience; a Ph.D. in Aerospace Engineering or related field and a minimum of 6 years of related experience.


Preferred Qualifications:

Demonstrated expertise in computational fluid dynamics analysis, with an emphasis on:
Mesh generation
Steady and unsteady flows
Sensitivity studies
Validation activities
Expertise in computational modeling, including numerical analysis, finite element methods, and software engineering
Experience in software development in the C++ and Python languages
Proven communication skills
The ability to work flexible hours and travel
Experience in an R&D and/or testing environment
Experience executing in a high-performance computing environment
Use of AI/ML techniques to develop surrogate models and support scientific discovery
Experience in multiphysics modeling
Experience in parallel programming on large-scale computational clusters
Expertise in Matlab programming
TS/SCI Clearance




Special Requirement:

SCI

This position requires the ability to obtain and maintain a Secret Compartmental Investigation (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.


This position is a full-time staff position.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Network Engineer
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Argonne National Laboratory
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Lemont, Illinois
DescriptionArgonne is a multidisciplinary science and engineering research center, where world- class researchers work alongside experts from industry, academia and other government laboratories to address vital national challenges in clean energy, environment, technology and national security.

As a member of the Argonne Leadership Computing Facility (ALCF) High Performance Computing (HPC) team, you will directly work with first class machines and emergent technologies alongside scientific staff and research colleagues within the division.

In this role you will primarily assist with the installation and support of ALCF data, storage, and interconnect networks within a high performance computing (HPC) environment with a heavy emphasis on NVIDIA Mellanox InfiniBand and HPE Slingshot. This position will also work on scripting, automation, and monitoring in support of these networks.
RequirementsRequired skills: Strong background in configuring or managing InfiniBand Good knowledge of networking architectures and topologies, administrative practices, and high availability and performance techniques Good knowledge of hardware for optical networking Practical experience with the administration of routers and switches Working knowledge of UNIX systems administration, with emphasis on Linux Working knowledge of one or more scripting languages Ability to write concise documentation Ability to work effectively as a member of a team Flexibility in handling assignments and working on several projects simultaneously To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. Ability to model Argonne's core values impact, safety, respect, integrity, and teamwork Preferred skills: Knowledge of data transfer techniques and mechanics of long-haul performance Knowledge of designing network performant servers Practical experience with the Mellanox UFM Knowledge of capability-class HPC systems architecture and workflows Knowledge of parallel and cluster file systems such as Lustre and GPFS Understanding of MPI implementations such as MPICH Experience with automation/configuration management technologies Awareness of a wide variety of open-source technologies relevant to HPC administration, such as resource management integrations, data and storage systems, system wide monitoring infrastructures, software environment deployment, and continuous integration This position can be hired at one of two levels; the selected candidate will be placed at the appropriate level (PT2 or PT3) dependent upon the depth and breadth of relevant knowledge and skills. The minimum requirements of the two levels are as follows: PT2: Bachelor's degree and 2+ years of experience, or equivalent PT3: Bachelor's degree and 4+ years of experience, or a Master's degree and 2+ years of experience, or equivalent
Company DescriptionAt Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future. To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site. To learn more about the exciting science going on at Argonne, visit our Science and Technology page.
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2023-11-09
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Postdoctoral Research Associate - Quantum Networking
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Oak Ridge National Laboratory
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Oak Ridge, TN
DescriptionOverview:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.



We are seeking a Postdoctoral Research Associate who will support the Quantum Communications and Networking Group with the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL).



Major Duties/Responsibilities:

Participate in new and ongoing research in quantum communications, quantum networking, and quantum repeaters.
Formulate novel quantum information solutions to problems of national interest and support the research and development necessary for the practical implementation of those solutions
Interpret, report, and present research concepts and results to national audiences at all levels
Write peer-reviewed papers and technical reports for internal and external release and represent the organization by giving technical presentations in large public forums
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.


Basic Qualifications:

Ph.D. in Physics, Optics, Electrical Engineering, Computer Science, or a related field completed within the last 5 years


Preferred Qualifications:

Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
Ability to acquire data and control experiments via computer
Previous research experience in experimental quantum information


Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.



Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.



Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document


Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.



Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Life Insurance, Pet Insurance, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Forward Deployed Software Engineer
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Together.ai
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San Francisco
DescriptionRole
As a Forward Deployed Software Engineer, (FDSE), you will work directly with customers post-sales to quickly understand their greatest problems and design and implement generative AI solutions to solve them. As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use generative AI to achieve success. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries.
RequirementsRequirements Have 5+ years of technical consulting (or equivalent) experience Expert at building web applications using Python and TypeScript Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed Excellent oral and written communication Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts Ability to write high-performance, reusable code for UI components, including appropriate testing Responsibilities Deeply embed with our most strategic platform customers, serving as their technical thought partner in building novel applications on our API Work in small teams with minimal supervision and own end-to-end execution of high stakes projects Ability to do whatever is necessary to make customers successful, from driving architecture decisions with fellow engineers, coding custom web apps, speaking with customer executives, establishing strategy, and more Communicate effectively with stakeholders across Together when developing a solution; seek and incorporate diverse perspectives to address complex issues
Company DescriptionAbout Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
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2023-11-12
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Ion Trap Quantum Technology Postdoctoral Researcher
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
DescriptionIon Trap Quantum Technology Postdoctoral Researcher - 100423
Division: SN-Scientific Networking

Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) QUANT-NET project has an open position for a postdoc position to help build small-scale ion-trap quantum processors and connect them to each other for quantum networking experiments between Lawrence Berkeley National Lab and University of California, Berkeley. This effort will require incorporating high-finesse optical-cavity systems into a novel trap technology to establish remote entanglement between the quantum processors. In this exciting role, you will be part of a multi-organization team, and will be researching and developing the latest ion-trap technologies closely with professors, scientists, engineers, and graduate students of the QUANT-NET research team.

QUANT-NET is a five-year DOE funded project that brings together world-leading expertise in quantum technologies from Lawrence Berkeley National Lab, UC Berkeley, Caltech and the University of Innsbruck in order to build a three-node quantum network test-bed in the berkeley campus, which is connected with an entanglement swapping substrate over optical fiber and managed by a quantum network protocol stack. On top of this entanglement swapping substrate the research team will implement the most basic building blocks of distributed quantum computing and quantum repeater by teleporting a controlled-NOT gate between two far trapped-ion quantum computation nodes. The project also explores heterogeneity and a path towards scalability by researching and developing silicon color center-based quantum technologies that can be used in future quantum repeater platforms.

What You Will Do:
• Building, testing, and commissioning cavity integrated trapped-ion quantum processors.
• Implementing frequency stabilization and synchronization of laser systems at remote locations.
• Performing quantum networking experiments, including the demonstrations of high fidelity and high-rate ion-photon and ion-ion entanglement across the QUANT-NET test bed.
• Assisting the ongoing efforts on establishing a fully operational ion-trap laboratory at LBNL.
• Guiding and mentoring 2-3 graduate students at the LBNL and UCB labs.
• Disseminating the research results in high-impact journals and national/international conferences.
RequirementsWhat is Required: • Ph.D. in Physics or Electrical Engineering, or equivalent combination of skills and experience. • Experience in trapping and manipulation of atoms/ions for quantum information processing and/or quantum communication. • Experience in optics, UHV systems, laser stabilization, and system assembly. • Background in cavity QED, in particular, coupling atoms with cavity fields. Desired Qualifications: • Ability to work in a highly dynamic and diverse team environment with scientists, engineers and students from diverse backgrounds. Members of the team for this project will span across LBNL, UC Berkeley, Caltech and University of Innsbruck. • Strong written and verbal communication skills to present and disseminate scientific developments at group meetings and conferences. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ Notes: • This is a full-time, 3 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 2 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. • This position is represented by a union for collective bargaining purposes. • The monthly salary range for this position is $4,636-$8,171 and is expected to start at $6526 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • Work may be performed on-site. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. How To Apply Apply directly online at http://50.73.55.13/counter.php?id=272184 and follow the on-line instructions to complete the application process.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
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2023-11-15
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
AI Researcher, NLP and Computer Vision
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Together.ai
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San Francisco
DescriptionRole
As an AI Researcher, you will be building next generation open models, both large language models and computer vision models such as diffusion models, using the computation and software infrastructure at Together. You will be working closely with the data engineering team to unveil the recipe of building open models that push the frontier, and will be working with the algorithm and engineering team to make your model widely available to everyone. You will also interact with customers to help them in their journey of training, using, and improving their AI applications using open models. Your research skills will be vital in staying up-to-date with the latest advancements in NLP and Computer Vision, ensuring that we stay at the cutting edge of open model innovations.
RequirementsRequirements Strong background in Natural Language Processing or Computer Vision Experience in building state-of-the-art models at large scale Passion in contributing to the open model ecosystem and pushing the frontier of open models Excellent problem-solving and analytical skills Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities Taking advantage of the computational infrastructure of Together to create the best open models in their class Understanding and improving the full lifecycle of building open models; release and publish your insights (blogs, academic papers etc.) Collaborating with cross-functional teams to deploy your model and make available to a wider community and customer base Staying up-to-date with the latest advancements in NLP and Computer Vision
Company DescriptionAbout Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
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2023-11-12
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
High Performance Computing Systems Administration Specialist
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Argonne National Laboratory
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Lemont, Illinois
DescriptionOur ALCF division within our CELS directorate is seeking two HPC Systems Administration Specialists to join the team!

In this role you will:

Design, implement, and manage world-class ALCF supercomputers, with attendant supporting software, and infrastructure, for use by open-science researchers.
Managing this environment will involve integrating, supporting, and documenting a diverse array of hardware and software. You should have advanced knowledge of Linux, be interested in classical HPC emerging trends and workflows, and be able to work directly with other systems administrators to ensure the continued expansion, reliability, and sustainability of ALCF systems.
Success in this role means that you can expertly support systems in a complex environment and work efficiently with other operations groups. Researchers will rely on your guidance when it comes to the software and hardware environment so you will have a direct impact on ensuring that their research is productive.
RequirementsRequired qualifications and skills: Must be able to pass an Office of Personnel Management National Background Investigations Bureau background investigation Extensive Linux experience Experience with job-resource managers and cluster operations Experience with scripting languages (e.g., Python, PERL). Experience with IB and Ethernet based networks Experience with Puppet, Chef, Ansible or equivalent configuration management tools Experience with version control platforms (e.g., Git/BitBucket, SVN) To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. Preferred qualifications and skills: Software packaging, building software from source, and dynamic linking (e.g., RPM or Spack) Software build tools (e.g., CMake, Make, or Autotools) HPC user workflows and licensing management Compute virtualization stacks (e.g., Docker or Singularity) Lustre parallel file systems Data movement (e.g., Globus) HPE/Cray HPC system administration This position can be hired at one of two levels, and the requirements for each are as follows: PT2: Bachelor's degree and 2+ years of experience, or equivalent PT3: Bachelor's degree and 4+ years of experience, or a Master's degree and 2+ years of experience, or equivalent
Company DescriptionAt Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future. To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site. To learn more about the exciting science going on at Argonne, visit our Science and Technology page.
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2023-11-09
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Sales Development Representative
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Together.ai
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San Francisco
DescriptionRole
As the first SDR at a rapidly growing AI infrastructure company, your territory is the world. You will have the opportunity to be at the cutting edge of one of the most important technological shifts of our time, speaking daily with founders, data scientists, researchers, and CTOs to help them build successful AI-driven businesses. Your primary focus will be to build a robust pipeline of sales opportunities for the Together platform, including GPU sales & API platform sales.
RequirementsRequirements 2-5 years of experience in sales, with a track record of exceeding targets Technical, passion for technology & a desire to work with highly technical teams and products An excellent communicator with both clients and internal teams Adaptability, coachability, high drive and sense of urgency - enjoys working within a fast-paced environment wearing multiple hats Enjoys experimenting with the sales pitch/process to achieve company goals Experience and success with cold-calling/prospecting, making high volumes of calls & emails daily Nice to Have Baseline understanding of compute hardware products Responsibilities Work closely with Account Executives to develop a robust lead pipeline & qualified revenue opportunities Conduct a high volume of cold calls, warm calls and emails to prospective customers Meticulously manage a pipeline of new business opportunities in CRM (Pipedrive, Salesforce, etc) Generate sales interest via multi-channel outbound campaigns
Company DescriptionAbout Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
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2023-11-12
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
QA Engineer
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Together.ai
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San Francisco
DescriptionRole
As the first QA Engineer at Together AI, you will be a key player in setting a high quality bar for our users and customers. Your primary focus will be on designing and implementing automated testing processes using Python, Golang, or TypeScript. We’re looking for a leader with experience working closely with a group of stakeholders and engineers, defining test strategies and executing test plans, and ensuring the overall quality of the products we have at Together AI.
RequirementsRequirements Bachelor's degree in Computer Science, Software Engineering, or a related field or 5+ years of industry experience Proven experience as a QA Automation Engineer, an SDET, or a similar role in a software development environment Strong knowledge of automation testing methodologies, tools, and best practices Proficiency in Python, Golang, or TypeScript for test automation Familiarity with AI and machine learning concepts is a plus Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Self-motivated and adaptable in a fast-paced startup environment Passionately committed to ensuring the highest standards of software quality and dedicated to delivering top-notch products to our users Responsibilities Develop a sustainable test automation strategy and drive accountability and ownership across relevant teams to maintain these practices Identify project needs and establish QA best practices and processes that take into account the team's resources, roadmap, and quality standards Hold teams accountable for upholding quality and user impact as a factor in decisions Create and maintain robust test automation frameworks using Cypress to increase test efficiency and coverage Write, maintain, and execute automated test scripts for functionality, performance, and reliability testing Identify and report software defects, track issues, and collaborate with developers to ensure timely resolution Conduct automated regression testing to validate software changes and updates Work closely with engineering and product teams to understand project requirements and align on testing goals Document test automation processes, findings, and results for reference and reporting purposes Stay current on emerging testing tools, best practices, and quality assurance trends Implement process improvements and promote a culture of automation and quality
Company DescriptionAbout Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
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2023-11-12
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
HPC Engineer, User Assistance, Entry Level (Hybrid Eligible)
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Oak Ridge National Laboratory
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Oak Ridge, Tennessee
DescriptionThe Organization:
The National Center for Computational Sciences (NCCS) provides groundbreaking computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility. NCCS serves multiple agencies including DOE, NOAA, and the Air Force. The NCCS also supports the Quantum Computing User Program (QCUP) which provides access to pioneering quantum computing resources. 

The Team:
The NCCS User Assistance (UA) Group provides technical support for advanced computing resources and workflows including high-performance computing (HPC) and Quantum, generates documentation about NCCS resources, and develops and delivers training to users of the center’s resources. NCCS UA members are also responsible for developing tools and technical solutions and serve as ambassadors for users and the rest of the organization. 

Major Duties/Responsibilities:
The role comprises the following primary functions:
Take technical ownership of user reported problems and provide hands-on support for scientific applications and libraries and users of high-performance computing, clusters, quantum, and other sophisticated computing resources. 
Compile and debug large science and engineering applications. 
Identify and resolve system-level bugs in conjunction with other technical staff. 
Work with vendors to resolve issues and implement changes as necessary. 
Install third-party software applications and tools and provide documentation for usage. 
Develop and implement system tests to ensure newly deployed systems can support user workloads.  
Proactively ensure that users have up-to-date information about the system, including any changes and their impact on the users. User Support staff are very involved in researching and developing documentation and reference material during system early-use and upgrade phases, as well as maintaining them throughout system operation. 
Participate in the development, maintenance, and delivery of training and outreach materials to users. 
Respond to general administrative questions (e.g., system status, requests for accessor special accommodation, etc) 
Implement special projects as requested (e.g., metrics, cyber security, policy discussions).  
Actively participate and advocate for users during planning of system configuration, policy creation, outages, and other user impacting events. 

Basic Qualifications:
Bachelor’s degree in computer science or related field
Prior experience with multiple programming languages and technologies including at least one of the following:
Fortran
C
C++
Perl
Python
Shell scripting (e.g., bash, ksh) in a Linux or Unix environment

Preferred Qualifications:
Bachelor’s degree and 2+ years of relevant experience, or MS and 1+ year of relevant experience
Experience building and installing scientific software and other 3rd party software applications on HPC systems
Experience with HPC schedulers and resource managers
Experience executing scientific software on HPC systems
Experience writing user documentation
Experience developing and delivering training for users
Strong technical and analytical skills
Strong verbal and written communication skills
Maintains the highest level of professionalism at all times when interacting with internal and external customers
Demonstrates a high-energy, positive attitude and commitment to quality customer service
Contributes to a positive team environment within the center by demonstrating a strong work ethic, effectively communicating with others, and proactively anticipating center and user needs
Experience coordinating and running support teams
Understanding of the requirements of a DOE, DoD, and/or NSF HPC center

Benefits:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.
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2023-11-08
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Kubernetes Platforms Systems Engineer - Associate Level
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Oak Ridge National Laboratory
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Oak Ridge, TN
DescriptionThe Organization:

The National Center for Computational Sciences (NCCS) in the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory is seeking a Kubernetes Platform Systems Engineer to play a key role in improving security, performance, and reliability of the NCCS computing infrastructure which supports multiple highly ranked Top500 Supercomputers, including the world’s first exaflop system, Frontier.



The Team:

In this role you will work in the Infrastructure team within the HPC Infrastructure and Networking Group to support all activities of our supercomputer center.



Major Duties/Responsibilities:

Utilize education and experience to ensure our Kubernetes platform remains reliable, available, and fast
Identify problems and provide solutions to improve the reliability, scalability, performance, and efficiency of our services
Work with the team to define and implement best practices and standards within the organization
Respond to, investigate, and fix service issues all the way from bare metal through the OS to the application code
Coordinate with vendors to resolve hardware and software problems
Participate in an on-call rotation providing 24-hour, 7-day support and off-hours maintenance windows
Work with users to help them use Kubernetes


Basic Qualifications:

Bachelor’s degree or an equivalent combination of education and experience
At least two years of relevant technical experience


Preferred Qualifications:

2+ years of experience working as an SRE/Systems Administrator/Systems Engineer
Excellent interpersonal/communications skills, and the ability to work as part of a team
Prior or experience working with Docker or Kubernetes
Experience using image registries such as Quay or Harbor
Understanding of networked computing environment concepts
Working knowledge of Unix systems fundamentals and common network protocols
Ability to develop and maintain programs and scripts that aid in the operation and automation of tasks using various shell and scripting languages (primarily bash, Python, and Go)
Working knowledge of tools such as Prometheus, Nagios, and Grafana to monitor systems, metrics and create dashboards
Working knowledge of Infrastructure-as-Code tooling such as Terraform, Helm, and Puppet
Working knowledge of CI/CD tooling and GitOps
Experience with code review and familiarity with tools like git, GitHub and GitLab


Special Requirements:

This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.



Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.



In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.



Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
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·
Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
Computational Fluid Dynamics Analyst
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Oak Ridge National Laboratory
·
Oak Ridge, TN
DescriptionOverview:

The Advanced Engineering Technologies (AET) Group is seeking a dedicated computational fluid dynamics analyst specializing in the use and development of computational simulation software for complex aerodynamic systems in the support of the nonproliferation mission space. This position will involve the creation and use of custom developed and off-the-shelf computational approaches in a research and development atmosphere. AET resides within the Nuclear Nonproliferation Division (NND) at Oak Ridge National Laboratory (ORNL). The NND is a division operating within the National Security Sciences Directorate. NND staff contributes world class research, technology development, risk assessment, and systems analysis related to nonproliferation and counterproliferation. The division activities play a vital role in implementation of national policy issues that strive to ensure global nuclear security. One of the major focus areas of the AET group is the development of advanced approaches to operation, characterization, and analysis of nuclear fuel cycle processes. The group specializes in the application of engineering principles supporting the characterization of processes and related materials. The AET group collaborates and works with staff from other groups within NND and ORNL to assure the full expertise of fuel cycle processes are applied to meet sponsor needs.



Major Duties / Responsibilities

The successful candidate, in collaboration with principal investigators and project management at ORNL, will participate in the development of simulation software to model complex system flows in processes relevant to the nuclear nonproliferation mission space.
As a junior member of the team, the candidate will hone their CFD skills while developing subject matter expertise in nonproliferation topic areas and the execution of successful R&D projects.
The candidate will be expected to be learn and become a heavy end user of the tools generated, participate in model validation activities, identify workflow improvements, and communicate issues to the development team for tool improvement.
The candidate will also be involved in the analysis of ad hoc problem sets relevant to the nuclear nonproliferation mission space.
This individual will be expected to perform well as part of a larger project team and be capable of developing simulation software in a collaborative development environment.
In addition to these responsibilities, the candidate will be a contributor to R&D projects and will be expected to report on and brief results throughout the lifecycle of the various projects assigned to them.
In this position the candidate will be expected to effectively interact with various ORNL staff as well as internal and external sponsors.
The candidate is expected to work in a team environment with co-workers and management as well as independently; to fully document work performed in the forms of technical reports, papers and presentations; and to participate in the development of research proposals.
Excellent communication skills including verbal, presentation, and writing skills are required.
The successful candidate will interface with principal investigators, management, engineers, fabricators, modelers, and test campaign personnel.


Required Qualifications:

An B.S in Aerospace Engineering or related field, M.S. in Aerospace Engineering or related field, and a minimum of 2 years of related experience; a Ph.D. in Aerospace Engineering or related field


Preferred Qualifications:

Demonstrated experience in computational fluid dynamics analysis, with an emphasis on:
Mesh generation
Steady and unsteady flows
Sensitivity studies
Validation activities
Expertise in computational modeling, including numerical analysis, finite element methods, and software engineering
Experience in software development in the C++ and Python languages
Proven communication skills
The ability to work flexible hours and travel
Internships or Post-Doctoral experience in a CFD related field.
Demonstrated experience in computational fluid dynamics analysis, with an emphasis on:
Sensitivity studies
Validation activities
Experience in an R&D and/or testing environment
Experience executing in a high-performance computing environment
Use of AI/ML techniques to develop surrogate models and support scientific discovery
Experience in multiphysics modeling
Experience in parallel programming on large-scale computational clusters
Expertise in Matlab programming
TS/SCI Clearance


Special Requirement:

SCI

This position requires the ability to obtain and maintain a Secret Compartmental Investigation (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.
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Event Type
Job Posting
TimeWednesday, 15 November 202310am - 3pm MST
Location
AI Engineer, Ecosystem
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Together.ai
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San Francisco
DescriptionRole
Together AI is looking for an AI Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs and integrate those APIs into third-party AI toolchains such as Langchain. Relevant experience includes building developer tools used and loved by developers around the world.
RequirementsRequirements 5+ years experience writing large-scale AI developer tools or similar Bachelor’s degree in computer science or equivalent industry experience Expert level programmer in one or more of Python, Go, Rust, or C/C++ Experience integrating with AI inference and fine-tuning APIs or similar GPU programming, NCCL, CUDA knowledge a plus Experience with Pytorch or Tensorflow, a plus Responsibilities Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale Integrate Together Cloud inference and fine-tuning APIs with third party AI toolchains such as Langchain Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world Perform architecture and research work for AI workloads Analyze and improve efficiency, scalability, and stability of various system resources Conduct design and code reviews Create services, tools & developer documentation Create testing frameworks for robustness and fault-tolerance Participate in an on-call rotation to respond to critical incidents as needed
Company DescriptionAbout Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cos