MPAS Infrastructure Engineer — Hybrid (DC Area)

Lynker Corporation; College Park (MD); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health care (employee)

Paid time off

401(k) with company matching

ESOP – company ownership

Tuition assistance

Job summary

Lynker Corporation is seeking a Scientific Software Developer for MPAS Infrastructure to join our weather and climate science team. The role focuses on integrating MPAS as a dynamical core within the UFS Weather Model, developing coupling frameworks and scalable testing across HPC platforms.

The ideal candidate will have Fortran and Python expertise, experience with NUOPC/MPAS, and a track record in building portable HPC workflows, with a willingness to explore GenAI-assisted development and

Qualifications

• Experience with numerical modeling or scientific computing.
• Background in meteorology or related sciences.
• Proficiency in Fortran and Python.
• Experience with parallel Earth system models on HPC systems.

Responsibilities

• Develop infrastructure to integrate MPAS as a dycore within UFS Weather Model.
• Expand NUOPC caps and mediator configurations for coupled models.
• Ensure portable builds, tests, and CI workflows across HPC platforms.
• Apply GenAI tools to accelerate code and documentation development.

Skills

Fortran (F95+)

Python (OOP)

Shell scripting (Bash)

Git/GitHub workflows

CMake/CTest

SLURM/PBS HPC schedulers

GPU/heterogeneous compute

CI/CD -- automated workflows

NUOPC/MPAS architecture

Tools

GitHub/GitLab

CMake

CI tools

Containerization (Docker/Podman)

Job description

Lynker Corporation is seeking a Scientific Software Developer for MPAS Infrastructure to join our weather and climate science team. The role focuses on integrating MPAS as a dynamical core within the UFS Weather Model, developing coupling frameworks and scalable testing across HPC platforms.

The ideal candidate will have Fortran and Python expertise, experience with NUOPC/MPAS, and a track record in building portable HPC workflows, with a willingness to explore GenAI-assisted development and