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Earth Modeling Scientific Programmer

Job ID: 2307510
Location: PRINCETON, NJ, United States
Date Posted: Jun 6, 2023
Category: Software
Subcategory: SW Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: No Remote
Benefits: Click here

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Job Description


The Flexible Modeling System (FMS) is the Earth System Modeling (ESM) framework used at GFDL. The framework supports the multi-physics model components (e.g. atmosphere dynamical core, atmospheric physics, ocean dynamical core and physics, land model, ice model, etc). The FMS core is written primarily in modern Fortran with some elements in C and C++. The core supplies various services that enable grid based domain decomposition, MPI and OpenMP based inter-processor communication, parallel I/O, model diagnostics generation, etc. Importantly, various grids are employed within a single model across the model component space (e.g. “cubed-sphere” for the atmosphere and “tripolar” for the ocean). A recent engagement with the Allen Institute for Artificial Intelligence (AI2) demonstrated the capabilities of utilizing the GridTools for Python (GT4Py) domain specific language to run GFDL’s FV3 dynamical core and associated atmospheric physical parameterizations on GPU-accelerated supercomputers (Pace model). As of the time of publication of this paper, Pace on a GPU performed about 4x faster than the native Fortran version running on CPUs.  The work to date has focused solely on GPU performance and Pace on CPUs runs at about 25% of the natively-coded version in Fortran.


AI2 has transferred this groundbreaking work to NOAA/GFDL and we will be continuing the work in three key areas:

  • Integration of the FMS core infrastructure into the GT4Py ecosystem
  • Analyze and improve the performance of the GT4Py x86 code generator
  • Integrating new backend capabilities, such as Kokkos or MLIR and perhaps LLVM,  into the GT4Py ecosystem


We are looking for an individual with experience in the following areas:

  • Python programming for scientific application
  • Performance optimization for high-performance computing architectures
  • GPU programming
  • Knowledge of any of the following is also beneficial:
    • C++
    • Fortran
    • Object-Oriented Python Programming
    • Kokkos Performance Portability Library
    • DaCe - Data-Centric Parallel Programming Framework
    • Domain Specific Languages
    • LLVM Compiler Infrastructure
    • Multi-Level Intermediate Representation (MLIR)



  • A Bachelor’s degree in Computer Science, Information Systems, Engineering, Business or other related scientific or technical discipline
  • Two years of experience in Systems Engineering or Programming
  • With at least 6 years of specialized experience, a degree is not required
  • Significant Experience with Python Programming language
  • Experience with GPU programming, HPC architecture, and compilers
  • Demonstrated documentation ability in a variety of documentation formats e.g. wiki, google sites, etc.
  • Experience with version control tools, such as git
  • Support the investigation and debugging of incidents, installation, modification or manipulation of code
  • Experience working independently, balancing and prioritizing work
  • Ability to obtain and maintain a Public Trust clearance which requires US Citizenship


Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.


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