Research Prime

Computational Mechanics Code Developer

Organisation Name: LLNL
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Country: UnitedStates

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Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people talents ideas experiences and perspectives. This is important for continued success of the Laboratorys mission.

Pay Range

$132810 - $204636

$132810 - $170556 Annually for the SES.2 level

$159330 - $204636 Annually for the SES.3 level

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education experience the external labor market and internal equity.

Job Description

We have an opening for a Computational Mechanics Code Developer. You will create or adapt state-of-the-art computational mechanics algorithms ensure the fidelity and performance of their implementation and support their usage by multiple teams on demanding classes of problems. This position is in the Computational Engineering Division (CED) within the Engineering Directorate. CED provides support to Strategic Deterrence (SD) Programs.

This position will be filled at eitherlevel based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.

In this roleyou will

  • Create or identify state-of-the-art computational mechanics algorithms that extend modeling capabilities implement software suitable for high-performance computers and document their verification.
  • Establish expertise in using one or more finite element-based simulation tools such as ParaDyn Diablo or ALE3D.
  • Evaluate algorithms for current and future problem classes developing a body of experience with which to guide users and establish strategies for future improvements.
  • Proactively interact with users to assess software performance and provide solutions for moderately complex issues of modeling or software errors.
  • Adapt software development and QA practices and contribute to their continuous improvement.
  • Document efforts in technical reports publish papers in peer-reviewed journals and present results at scientific meetings and conferences.
  • Contribute to technical practices and mechanical and structural systems with internal and external collaborators.
  • Perform other duties as assigned.

Additional job responsibilities at the SES.3 level

  • Lead teams in the development implementation and application of new methods in one or more of the following areas:
    • Problems of interest in manufacturing.
    • Methods which employ multi-scale and multi-simulation models which may include Machine Learning/AI.
    • Methods which leverage emerging compute hardware (e.g. GPUs) and related computer science programming paradigms to enable highly efficient and scalable simulations.

Qualifications

  • Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. Citizenship.
  • PhD in Engineering or Computational Mechanics preferably with an emphasis in solid mechanics or an equivalent combination of education and experience.
  • Proficiency in C/C++ or Fortran programming.
  • Significant knowledge in at least one of the following topical areas: advanced spatial discretization for large deformation response advanced representations of nonlinear response for metals or other material classes coupled multi-physics simulation including thermal-structural and/or fluid-structural interaction additive manufacturing numerical methods for fracture.
  • Experience conducting independent research.
  • Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.
  • Ability to travel.

Additional qualifications at the SES.3 level

  • Significant experience in academic industrial or national-laboratory settings with a lead role in the development of computational mechanics algorithms and applications.
  • Comprehensive knowledge of computational mechanics in particular the theory and application of finite element methods for nonlinear mechanics problems including but not limited to solid mechanics and heat transfer.

Qualifications We Desire

  • Familiarity with finite element methods as applied to computational mechanics.
  • Experience with software implementations on parallel systems and heterogenous architectures.
  • Knowledge of constitutive model development for traditional and non-traditional solids.
  • Familiarity with machine learning/ deep learning programming frameworks (PyTorch tensor flow etc.). Proficiency in Fortran.
  • Familiarity with some commercial codes such as flow3d Ansys Abaqus especially with regards to Additive Manufacturing simulations.

Additional Information

#LI-Onsite

Position Information

This is a Career Indefinite position open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.If you are selected wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under Find Your Job of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent we strongly recommend you do not respond.

To learn more about recruitment scams:https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race color religion marital status national origin ancestry sex sexual orientation gender identity disability medical condition pregnancy protected veteran status age citizenship or any other characteristic protected by applicable laws.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process please use our online form to submit a request.

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants employees and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

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Posting Date: Jun 24, 2024
Closing Date:
Organisation Website/Careers Page: https://www.llnl.gov/join-our-team/careers/find-your-job/all/computational/3743990004514617


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