Hybrid Scientific Developer - In-Core Data Assimilation

Lynker Technologies; College Park (MD); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work schedule

Professional development opportunities

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Job summary

Lynker Technologies is seeking a Scientific Developer for UFS In-Core Data Assimilation in the DC Metro area. Hybrid schedule: 2 days in College Park office and 3 days remote.

You will advance the UFS Weather Model infrastructure, focusing on in-core data assimilation, state management, and automated testing. The ideal candidate will have strong Fortran/C, Python and experience with ESMF/NUOPC, JEDI, and HPC environments.

Qualifications

• Background in software engineering, meteorology or related field with numerical modeling
• Experience with Earth system frameworks (ESMF/NUOPC) and HPC/MPI
• Proficiency in Fortran/C, Python; Git and CI/CD practices
• Linux environment and shell scripting
• Experience with JEDI data assimilation and IAUs is preferred

Responsibilities

• Lead the development of UFS Weather Model infrastructure features for in-core DA and high-resolution nests
• Implement state management, rewind capabilities and NUOPC integration
• Extend coupling support with ESMF and automate regression testing
• Support DA teams for UFS/JEDI builds with in-core DA capabilities
• Adopt Agile/DevOps practices and maintain high-quality documentation

Skills

Fortran

C

Python

Linux

Git

Education

MS/PhD in CS/Math/meteorology or related field

Tools

NUOPC

ESMF

JEDI

CMake

Job description

Lynker Technologies is seeking a Scientific Developer for UFS In-Core Data Assimilation in the DC Metro area. Hybrid schedule: 2 days in College Park office and 3 days remote.

You will advance the UFS Weather Model infrastructure, focusing on in-core data assimilation, state management, and automated testing. The ideal candidate will have strong Fortran/C, Python and experience with ESMF/NUOPC, JEDI, and HPC environments.