CASC MFEM Computational Scientist
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Job Location:
Livermore, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We have an opening for a Computational Scientist to perform advanced research and development of finite element (FEM) meshing discretization and solver algorithms including automatic differentiation (AD) for differentiable simulations in support of high-performance computing (HPC) applications based on the MFEM finite element library. Of particular interest is the development of novel algorithms that impact a wide range of large-scale applications in the Department of Energy (DOE) that are based on partial differential equations (PDEs) and run on large GPU systems like LLNLs El Capitan. This position will be part of the MFEM team in the Numerical Analysis & Simulations Group of the Center for Applied Scientific Computing (CASC) Division within LLNLs Computing Directorate.
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 :
#LI-Hybrid
Position Information
This is a Career Indefinite position open to Lab employees and external candidates.
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- 401(k)
- Relocation Assistance
- Education Reimbursement Program
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Remote Work :
No
Employment Type :
Full-time
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