Senior Computational Scientist, GPU/HPC & ERF

Pacific Northwest National Laboratory; United States; On-site; USD 122,000 - 193,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Pension plan

401(k) matching

Job summary

Pacific Northwest National Laboratory (PNNL) seeks an experienced computational scientist to lead software development for ERF and AMReX-based codes. The role focuses on high‑performance computing, GPU portability, and scalable numerical methods across CPU/GPU platforms.

You will collaborate with multi-institution teams, advance compression-based atmospheric models, and contribute to publications and open-source software practices.

Qualifications

• PhD in Computational Science, Engineering, Applied Mathematics, Atmospheric Science, or closely related field.
• Demonstrated hands-on experience in scientific software development.
• Proven leadership in developing production-quality scientific software for HPC environments.

Responsibilities

• Lead software engineering and development efforts for the ERF model built on AMReX.
• Design, develop, and maintain performant numerical algorithms for atmospheric cores.
• Oversee deployment and CI/validation on DOE HPC systems (Frontier, Perlmutter, Aurora).
• Mentor junior software engineers and postdocs working on ERF and AMReX-based codes.
• Publish technical and software contributions in DOE program reviews and conferences.

Skills

C++ HPC

GPU programming

CI/CD

Mentoring

Publications

Education

PhD in Computational Science

MS/MA in related field

BS/BA with 5+ years experience

Tools

AMReX framework

CUDA

HIP

SYCL

Job description

Pacific Northwest National Laboratory (PNNL) seeks an experienced computational scientist to lead software development for ERF and AMReX-based codes. The role focuses on high‑performance computing, GPU portability, and scalable numerical methods across CPU/GPU platforms.

You will collaborate with multi-institution teams, advance compression-based atmospheric models, and contribute to publications and open-source software practices.