Hybrid Scientific Developer: In-Core Data Assimilation

Lynker

College Park (MD)

Hybrid

USD 110,000 - 150,000

Full time

3 days ago
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Benefits offered by this job

Healthcare benefits
401(k) retirement plan with company-mâ
Employee Stock Ownership Plan (ESOP)

Job summary

Lynker is seeking a Scientific Developer for UFS In-Core Data Assimilation to advance the NWS Unified Forecast System. You will work with software engineers and scientists to enable in-core DA, mid-run state management, and robust regression testing from the DC Metro area on a hybrid schedule.

The role emphasizes modern software practices, cross-team collaboration, and building scalable Earth system modeling capabilities for next-generation forecasts at multiple timescales.

Qualifications

  • Background in computer science, software engineering, meteorology/NWP, or related field with numerical modeling experience.
  • Experience with Earth system modeling frameworks (ESMF/NUOPC) is strongly preferred.
  • Proficiency in modern Fortran and/or C, plus Python; C++ experience with data assimilation (JEDI) is a plus.

Responsibilities

  • Lead development of UFS Weather Model infrastructure features including in-core data assimilation and high-resolution nests.
  • Implement robust state management, rewind capabilities, and testing to ensure numerical stability.
  • Collaborate with DA teams and HPC engineers; support CI, automation, and documentation.

Skills

Fortran
C
Python
MPI
ESMF

Education

Bachelor's degree in a related field

Tools

NUOPC
Git
CMake
JEDI
Linux

Job description

Lynker is seeking a Scientific Developer for UFS In-Core Data Assimilation to advance the NWS Unified Forecast System. You will work with software engineers and scientists to enable in-core DA, mid-run state management, and robust regression testing from the DC Metro area on a hybrid schedule.

The role emphasizes modern software practices, cross-team collaboration, and building scalable Earth system modeling capabilities for next-generation forecasts at multiple timescales.

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