Physics World
Position
Computational Scientist – CASC MFEM at Lawrence Livermore National Laboratory. Perform advanced research and development of finite element (FEM) meshing, discretization and solver algorithms, including automatic differentiation for differentiable simulations, supporting high-performance computing applications based on the MFEM finite element library.
Location Livermore, CA (Lawrence Livermore National Laboratory)
Pay Range Pay Range
$202,500 - $256,824 Yearly at the SES.4 level
Essential Duties
Develop new numerical algorithms for PDEs to support efficient and scalable finite element simulation capabilities and applications for a diverse user community.
Implement and test the new methods in the MFEM finite element library, targeting flexible user interface, parallel scalability, and GPU efficiency.
As a technical expert on a multi-disciplinary team, collaborate with a broad spectrum of scientists internally and externally to accomplish research goals.
Serve as the primary technical contact on specific projects. Provide guidance and support to users of the simulation tools developed.
Provide solutions to complex problems that require in-depth analysis of multiple factors and the creative use of established methods; prioritize many complex parallel tasks.
Direct troubleshooting activities, coordinating with other team members and various technical staff in multiple organizations to research and determine root cause of issues.
Represent CASC in advanced computing with vendors, customers, and academia.
Qualifications
Ph.D. in Applied Mathematics, Computational Science, or the equivalent combination of education and related experience.
Significant experience with finite element discretizations, including high-order methods, matrix-free discretizations and solvers and high‑order mesh adaptivity.
Significant experience programming in C/C++ in a Linux environment utilizing MPI parallelism and GPU acceleration with CUDA or HIP.
Ability to work independently while effectively managing concurrent technical tasks with competing priorities.
Ability to lead proposals or lead research areas while effectively managing concurrent technical tasks with competing priorities.
Expert analytical, problem‑solving, and decision‑making skills to develop creative solutions to complex problems.
Expert verbal and written communication and interpersonal skills necessary to effectively collaborate with internal and external teams to present and explain technical information and advise senior management and external sponsors.
Desired Qualifications
Significant familiarity with the MFEM library and some of its applications.
Significant experience in applying numerical methods within a complex scientific application.
Knowledge of automatic differentiation techniques and tools like Enzyme.
Experience with ALE radiation‑hydrodynamics algorithms or similar physics.
Additional Information
Position: Career Indefinite, open to Lab employees and external candidates.
Benefits: Flexible Benefits Package, 401(k), Relocation Assistance, Education Reimbursement Program, Flexible schedules, and more.
Security Clearance None required. However, assignment longer than 179 days requires Personal Identity Verification.
NDAA Restrictions Position subject to Section 3112 of the 2025 NDAA. Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre‑Employment Drug Test External applicants selected must pass a pre‑employment drug test for marijuana as federal law applies.
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.
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.
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Location Livermore, CA (Lawrence Livermore National Laboratory)
Pay Range Pay Range
$202,500 - $256,824 Yearly at the SES.4 level
Essential Duties
Develop new numerical algorithms for PDEs to support efficient and scalable finite element simulation capabilities and applications for a diverse user community.
Implement and test the new methods in the MFEM finite element library, targeting flexible user interface, parallel scalability, and GPU efficiency.
As a technical expert on a multi-disciplinary team, collaborate with a broad spectrum of scientists internally and externally to accomplish research goals.
Serve as the primary technical contact on specific projects. Provide guidance and support to users of the simulation tools developed.
Provide solutions to complex problems that require in-depth analysis of multiple factors and the creative use of established methods; prioritize many complex parallel tasks.
Direct troubleshooting activities, coordinating with other team members and various technical staff in multiple organizations to research and determine root cause of issues.
Represent CASC in advanced computing with vendors, customers, and academia.
Qualifications
Ph.D. in Applied Mathematics, Computational Science, or the equivalent combination of education and related experience.
Significant experience with finite element discretizations, including high-order methods, matrix-free discretizations and solvers and high‑order mesh adaptivity.
Significant experience programming in C/C++ in a Linux environment utilizing MPI parallelism and GPU acceleration with CUDA or HIP.
Ability to work independently while effectively managing concurrent technical tasks with competing priorities.
Ability to lead proposals or lead research areas while effectively managing concurrent technical tasks with competing priorities.
Expert analytical, problem‑solving, and decision‑making skills to develop creative solutions to complex problems.
Expert verbal and written communication and interpersonal skills necessary to effectively collaborate with internal and external teams to present and explain technical information and advise senior management and external sponsors.
Desired Qualifications
Significant familiarity with the MFEM library and some of its applications.
Significant experience in applying numerical methods within a complex scientific application.
Knowledge of automatic differentiation techniques and tools like Enzyme.
Experience with ALE radiation‑hydrodynamics algorithms or similar physics.
Additional Information
Position: Career Indefinite, open to Lab employees and external candidates.
Benefits: Flexible Benefits Package, 401(k), Relocation Assistance, Education Reimbursement Program, Flexible schedules, and more.
Security Clearance None required. However, assignment longer than 179 days requires Personal Identity Verification.
NDAA Restrictions Position subject to Section 3112 of the 2025 NDAA. Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre‑Employment Drug Test External applicants selected must pass a pre‑employment drug test for marijuana as federal law applies.
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.
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.
#J-18808-Ljbffr