Scientific Software Developer – MPAS Infrastructure

Lynker

. Conduct infrastructure development and innovation to integrate MPAS as a new dynamical core within the UFS Weather Model .

Posted 10/21/2026full-timeCollege Park • Maryland • United StatesMid-LevelSenior💰 $75,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and integrating dynamical cores within weather models, with proficiency in Fortran and Python for scientific computing. Capable of managing relationships with stakeholders while providing technical mentorship and maintaining documentation.

Highest-signal resume keywords

Fortran ProficiencyPython ProficiencyHPC Systems ExperienceGit-Based Version ControlCoupled Earth System Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Numerical ModelingObject-Oriented ProgrammingBash Shell ScriptingModular DesignUnit TestingParallel ComputingCMake-Based Build SystemsCI WorkflowsAI Tools for Code DevelopmentDebugging Tools

Soft Skills

Verbal CommunicationWritten CommunicationCollaborationTechnical MentorshipProblem-Solving

Tools & Technologies

SLURMPBSGitSpackApptainerSingularityDockerPodman

Industry Keywords

MeteorologyNWPScientific ComputingEarth System ModelingDynamical Cores

Tech Stack

Tools & technologies

DockerLinuxPythonShell ScriptingC++

About the role

Key responsibilities & impact

Conduct infrastructure development and innovation to integrate MPAS as a new dynamical core within the UFS Weather Model
Develop, expand, and support NUOPC caps, coupling infrastructure, coupled field exchanges, component interactions, and mediator configurations
Develop modular frameworks for standalone testing of individual coupled-model components
Ensure portability of compiled code, build configurations, and unit/regression testing workflows across scientific HPC platforms
Support testing and integration of heterogeneous compute capabilities such as GPUs
Profile parallel code at scale and identify I/O, memory, and load-balancing bottlenecks
Investigate scalable algorithms for refactoring, compression, or replacement with third-party implementations
Build, maintain, debug, and refactor automated CI workflows using Git-based code management and agile practices
Evaluate and apply GenAI tools and LLMs for code and technical-documentation development
Monitor emerging HPC hardware, compiler, and software-architecture trends
Serve as subject matter expert and technical point of contact for CICE and CDEPS components
Manage relationships with UFS Weather Model stakeholders and application teams
Review and integrate multi-team contributions
Maintain code documentation, troubleshoot build failures and runtime errors, and use advanced debugging tools
Provide technical mentoring to colleagues

Requirements

What you’ll need

Must be a U.S. Citizen or Green Card Holder
Background in meteorology/NWP, physical sciences, mathematics, computer science, software engineering, scientific computing, or a closely related field, with demonstrated numerical modeling or closely related scientific computing experience
Experience with or strong foundational understanding of Earth system or other dynamical modeling; MPAS or other dynamical cores preferred
Proficiency in Fortran, including F95+ and object-oriented concepts
Proficiency in Python, including OOP and automation
Proficiency in Bash shell scripting and scientific software development within Linux or similar environments
Working knowledge of modular design, unit testing, and standalone component testing frameworks
Experience developing, configuring, and executing parallel Earth system or similar models on HPC systems
Working knowledge of SLURM and PBS parallel job schedulers
Experience with CMake-based build systems and CTest preferred
Proficiency in Git-based version control and code management, including branching/forking strategies, pull/merge requests, and issue/project tracking
Experience leveraging AI tools for code and documentation development, or willingness to learn
Good verbal and written communication skills in English
Ability to collaborate professionally with physical scientists, software engineers, and inter-agency partner teams
Ability to independently identify, prioritize, and implement bug fixes and new features
Ability to provide technical mentorship and maintain user-facing developer documentation
Practical experience with coupled Earth system model frameworks such as ESMF, NUOPC, mediators, and component interactions strongly preferred
GPU or other heterogeneous computing experience or familiarity is a plus
Experience in C++ beneficial
Agile/Scrum experience preferred
CI and automated workflow experience a plus
Familiarity with Spack and containerization technologies such as Apptainer/Singularity and Docker/Podman beneficial

Benefits

Comp & perks

Comprehensive healthcare for the employee at no monthly cost
Healthcare benefit covers medical, prescription drug, dental, and vision
Personal Time Off (PTO) Policy plus paid holidays
Highly competitive compensation plan regularly calibrated against industry and location benchmarks
401(k) retirement plan with company-matching
Employee Stock Ownership Plan (ESOP)
Flexible spending accounts
Employee assistance program (EAP)
Short- and long-term disability insurance
Life and accident insurance
Tuition assistance/Training/Workforce improvement reimbursement per year
Spot bonuses for exceptional performance
Annual Employee Recognition Awards with bonuses
Employee Referral Program
Free centralized, self-directed Learning Management System
Personalized career growth plans for every employee
Hybrid work schedule with 2 days per week in office and 3 days working from home