GPU Computing Specialist - LAVA CFD Team
Listed on 2026-05-30
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IT/Tech
Systems Engineer, AI Engineer (Applied/Software), Computer Science
Position Overview
Analytical Mechanics Associates (AMA) is seeking a GPU Computing specialist to support the Launch Ascent and Vehicle Aerodynamics (LAVA) team within the Computational Aerosciences Branch (TNA) at NASA Ames Research Center (ARC) under the Aircraft Systems and Spaceflight Engineering Support Services (ASSESS) contract.
Primary Responsibilities- Contribute to GPU optimization efforts for the LAVA Cartesian solver, focusing on MPI/C++/CUDA implementation
- Support enhancement of Wall‑Modeled Large Eddy Simulation (WMLES) capabilities
- Implement and optimize new features for the adaptive mesh refinement framework
- Assist with hybrid parallelization strategies using MPI, CUDA, and OpenMP
- Help identify and resolve performance bottlenecks in computational workflows
- Create comprehensive technical documentation for code modifications and new features
- Assist users with software issues as we release the LAVA code to the broader community
- Collaborate with multidisciplinary scientific teams to address complex aerospace CFD problems
- Support simulation deployment across various computing environments, from workstations to supercomputers
- Advanced degree in Computational Sciences or related field
- Experience with CUDA programming and GPU architecture optimization
- Knowledge of detailed CUDA optimization techniques (occupancy, registers, memory layout, etc.) and profilers (ncu and nsys)
- Strong C++ programming skills with experience in performance‑critical applications
- Working knowledge of MPI and OpenMP parallel programming models
- Demonstrated ability to optimize scientific computing applications
- Current U.S. work authorization; preference given to U.S. citizens and lawful permanent residents, but also welcome applicants with valid U.S. work visas (OPT, CPT, etc.)
- Background in computational fluid dynamics or related scientific computing fields
- Knowledge of GPU computing on NVIDIA HPC architectures (e.g., A100, GH200)
- Experience with octree data structures and Cartesian AMR algorithms
- Experience working in diverse computing environments from workstations to HPC systems
- Knowledge and experience with ray tracing libraries (OptiX, OWL, Embree, etc.) for immersed boundary geometry queries
- Knowledge of FEM structural dynamics for fluid‑structure interaction simulations
- Experience with performance portability layers
- Experience with non‑NVIDIA GPU accelerators (AMD, Intel, etc.)
- Familiarity with cross‑platform GPU development
- Familiarity with low‑dissipation numerics for computational fluid dynamics
- Experience with multi‑phase or multi‑physics simulations
- Background in aerospace applications (launch environment modeling, parachute/entry system dynamics, aerodynamic simulations of aircraft)
The LAVA code is used in mission‑critical problems including launch environment simulations for the Artemis program, entry system modeling (parachute decelerator dynamics using FSI), and scale‑resolving wall‑modeled large‑eddy simulation for aeronautical applications.
CompensationSalary range: $125k–$165k DOE.
Equal Opportunity EmployerAMA is an affirmative action/equal opportunity employer and does not discriminate against applicants for employment or employee based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.
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