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UID:submissions.supercomputing.org_SC23_sess503_job205@linklings.com
SUMMARY:Scalable Data and Simulation Engineer (Hybrid Eligible)(
DESCRIPTION:Overview:\nWe are seeking a Scalable Data and Simulation Engin
 eer to build state of the art software technologies for use in a wide vari
 ety of engineering disciplines, ranging from networked controls to unique 
 modeling and simulation technologies for national security applications. O
 ak Ridge National Laboratory supports unique research needs for the Depart
 ment of Energy and other Government agencies with goals ranging from impro
 vements to energy efficiency, transitioning to renewable energy, improving
  the resiliency of the national electric infrastructure, and growing natio
 nal defense. Applications will focus on discrete event simulation and util
 ization of machine learning approaches for scalable simulation. The Softwa
 re systems engineer will play an integral role in prototyping, demonstrati
 ng, and transitioning to production complex systems to meet these diverse 
 objectives. This position resides in Systems Engineering and Cybernetics G
 roup in the Computational Sciences & Engineering Division of the Computing
  & Computational Sciences Directorate at Oak Ridge National Laboratory (OR
 NL).\n\n \n\nAs a U.S. Department of Energy (DOE) Office of Science nation
 al laboratory, ORNL has an extraordinary 80-year history of solving the na
 tion’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 f
 or enabling the execution of ORNL’s broader mission to accelerate scientif
 ic discoveries and their translation into energy, environment, and securit
 y solutions for the nation.\n\n \n\nMajor Duties/Responsibilities:\n\nWork
  with a team to move research concepts from exploratory prototype to deliv
 ered systems.\nResearch, develop and implement machine learning-driven alg
 orithms for improved computational efficiency and scalability.\nApply soph
 isticated computing and machine learning capabilities to solve scientific 
 challenges within ORNL.\nBuild, test, and maintain software elements of th
 ese systems.\nSupport modeling and simulation activities to exercise softw
 are elements.\nSupport field exercises to demonstrate system capabilities.
 \nProvide technical leadership for software development teams.\nMentor new
  and junior technical staff.\n \n\nBasic Qualifications:\n\nA master’s deg
 ree in computer science, electrical or computer engineering, or other fiel
 d relevant to the job duties.\n4+ years of systems software experience.\nE
 xperience developing machine learning approaches for scalable simulation a
 nd discrete event simulation.\nExperience programming in Python and C++.\n
  \n\nPreferred Qualifications:\n\n6 or more years of experience relevant t
 o the job duties.\nExperience with modelling and simulation of complex, in
 terdisciplinary systems.\nExtensive experience working with PyTorch and Te
 nsorFlow.\nKnowledge of computer architecture, computer networking, and ex
 perience with the development of virtualization technologies and/or comput
 er system simulations.\nExperience in software architecture and enterprise
 -scale application development for sophisticated scientific projects.\nExt
 ensive experience in Internet of Things (IOT) applications, machine learni
 ng, cloud-based software deployment, and embedded systems.\nExperience in 
 leading and working in Agile software development environments.\nExcellent
  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.\nA commitment to lifelong lear
 ning.\n \n\nSpecial Requirement:\n\nQ Clearance: This position requires th
 e ability to obtain and maintain a clearance from the Department of Energy
 . As such, this position is a Workplace Substance Abuse (WSAP) testing des
 ignated position. WSAP positions require passing a pre-placement drug test
  and participation in an ongoing random drug testing program.\n \n\nBenefi
 ts at ORNL:\nORNL 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 yo
 u and your family live happy and healthy. Employee amenities such as on-si
 te fitness, banking, and cafeteria facilities are also provided for conven
 ience.\n\n \n\nOther benefits include the following: Prescription Drug Pla
 n, 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, Well
 ness Programs, Educational Assistance, Relocation Assistance, and Employee
  Discounts.\n\n \n\nIf you have difficulty using the online application sy
 stem or need an accommodation to apply due to a disability, please email: 
 ORNLRecruiting@ornl.gov or call 1.866.963.9545.\n\n \n\nIn addition, we of
 fer a flexible work environment that supports both the organization and th
 e employee. A hybrid/onsite working arrangement may be available with this
  position.\n\n
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