Company

Lawrence Livermore National LaboratorySee more

addressAddressCalifornia, Falkirk
salary SalaryCompetitive
CategoryScientific

Job description

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 Laboratory’s mission.
Pay Range
$132,810 - $204,636
$132,810 - $170,556 Annually for the SES.2 level
$159,330 - $204,636 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 aComputational 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 either level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.
In this role you 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?

  • Included in 2024 Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
  • Our core beliefs - visit https://www.llnl.gov/diversity/our-values
  • Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet 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.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job 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.

 

 

Refer code: 3416496. Lawrence Livermore National Laboratory - The previous day - 2024-06-21 17:10

Lawrence Livermore National Laboratory

California, Falkirk

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