GPU Software Specialist, Onboard Compute
About the role
Muon Space is seeking a GPU Engineer to join our High Performance Compute (HPC) team. You will design and develop GPU-accelerated software that runs onboard orbiting satellites, powering mission-critical workloads such as Earth-imaging sensor processing, RF signal analysis, and onboard AI/ML inference.
On our satellites, GPUs will support mission-critical functions including Earth imaging sensor analysis, radio signal analysis, and high-performance onboard compute acceleration. You'll work across the full development lifecycle: feasibility, concept, architecture, design, implementation, verification, lab qualification, and deployment to flight, collaborating closely with FPGA engineers, flight software, payload and system hardware, and mission operations teams.
This position is hybrid and requires working on-site in our San Jose, CA office three days per week.
Responsibilities
- Design and implement GPU compute kernels (e.g. CUDA) for onboard image processing, radio signal processing, and ML inference workloads.
- Architect end-to-end GPU pipelines that ingest live sensor data (optical and radio), process it on GPU, and hand results off to downlink or CPU-based decision-making subsystems.
- Partner with internal and external customers to transform
