Scientific Developer for Model Optimization (HPC)

Location: College Park, MD, USA

Salary: $70,000–$100,000 per year

Company

hirify.global provides scientific and technical development services focused on high-performance computing and atmospheric modeling systems.

What you will do

• Identify and resolve performance bottlenecks in the UFS Weather Model, including its MPAS atmospheric dynamic core and coupled components.
• Optimize code, build configurations, and heterogeneous CPU/GPU and portable computing implementations.
• Develop configurable, reproducible profiling workflows for CPU and GPU performance, memory, cache usage, and disk I/O in large parallel applications.
• Integrate optimized, accelerator-enabled, and profiling-enabled components into the UFS build system, including compilers, packages, and instrumentation.
• Port and test accelerated code on suitable hardware while investigating bit-for-bit reproducibility and implementing reproducibility tests.
• Collaborate with teams, document technical approaches, mentor colleagues, and evaluate GenAI/LLM tools for software development.

Requirements

• Bachelor’s or Master’s degree in meteorology, atmospheric science, physical sciences, mathematics, computer science, software engineering, scientific computing, or a closely related field, with demonstrated numerical modeling or related scientific computing experience.
• Demonstrated experience with HPC, software optimization, and building, running, debugging, and profiling large-scale parallel applications.
• Proficiency in C, C++, and/or Fortran, as well as MPI.
• Familiarity with GPU or heterogeneous programming and/or portability frameworks such as CUDA, OpenACC, OpenMP target offloading, Kokkos, RAJA, PyTorch, or JAX.
• Familiarity with profiling concepts and tools such as gprof, TAU, or Scalasca.
• Experience with Linux/Unix shell scripting, automation, and build systems such as CMake, Meson, autotools, or make; strong configurable scripting and automation proficiency may be acceptable.
• Demonstrated proficiency with Git or similar code collaboration and management tools.
• Demonstrated ability to apply software engineering concepts and best practices.

Nice to have

• Ph.D. in a quantitative field with research computing experience.
• Direct experience with UFS, MPAS, or other atmospheric modeling systems; familiarity with NWP forecast workflows.
• Experience with ecFlow, Rocoto, Cylc, Spack, or pip in HPC environments.
• Familiarity with GenAI/LLM tools for software development workflows.
• Familiarity with continuous integration workflows and frameworks.

Culture & Benefits

• Full-time position with competitive compensation.
• Comprehensive medical, dental, and life insurance.
• Matching 401(k) contribution.
• Equal Opportunity Employer and protected-veteran and disability-inclusive workplace.