Hybrid Physical Scientist: HPC & MPAS Expert

Axiom Consultants; College Park (MD); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical/dental/life insurance

401(k) matching

Job summary

Axiom Consultants is seeking a Physical Scientist for a hybrid role in College Park, MD to drive development of the MPAS-based UFS Weather Model. You will integrate the MPAS dycore, expand NUOPC infrastructure, and ensure portability across HPC platforms, including GPUs.

Qualifications include Fortran (F95+), Python, CMake/CTest, Git, SLURM/PBS, CI workflows, and experience with MPAS or similar dynamical cores. Strong software engineering and AI tooling are valued.

Qualifications

• Background in meteorology/NWP or related field with numerical modeling experience.
• Proficiency in Fortran (F95+) and Python (OOP, automation).
• Experience with parallel HPC models (SLURM/PBS) and CI workflows.
• Familiarity with MPAS or other dynamical cores; GPU/HPC portability.
• Strong software engineering with modular design and testing.

Responsibilities

• Develop and integrate MPAS dycore within the UFS Weather Model and ensure component updates.
• Expand and support NUOPC caps, mediator configurations, and coupled model testing.
• Create capabilities for standalone testing of model components.
• Ensure portability and CI workflows across HPC platforms, including GPUs.
• Profile and optimize parallel code; investigate scalability and performance bottlenecks.
• Maintain documentation and provide technical mentoring; manage code with Git.

Skills

Fortran (F95+)

Python

Shell scripting (Bash)

Git/GitHub/GitLab

CMake/CTest

SLURM/PBS

CI workflows

NUOPC/mediators

MPAS/dycore

Linux environment

GPU/heterogeneous compute

Software engineering

Education

Bachelor's degree in a related field

Tools

NUOPC

CMake

CTest

Git

Spack

Apptainer/Singularity

Docker/Podman

E SMF/NUOPC frameworks

Job description

Axiom Consultants is seeking a Physical Scientist for a hybrid role in College Park, MD to drive development of the MPAS-based UFS Weather Model. You will integrate the MPAS dycore, expand NUOPC infrastructure, and ensure portability across HPC platforms, including GPUs.

Qualifications include Fortran (F95+), Python, CMake/CTest, Git, SLURM/PBS, CI workflows, and experience with MPAS or similar dynamical cores. Strong software engineering and AI tooling are valued.