Zoox
Senior Staff/Principal Software Engineer - GPU System Software, Onboard Execution
$339K–$455K
Foster City, CA +2 · Hybrid · Senior Staff · Full-time · Posted Oct 22, 2026
- Location
- Foster City, CA
Seattle, WA
Boston, MA - Experience
- 10+ years in systems or performance engineering, including leading GPU or accelerator architecture across teams, or building and leading a performance engineering team.
- Education
- BS in computer science, computer engineering, or related field.
About the job
Leads the Onboard Execution team in optimizing GPU execution and compute utilization for Zoox’s autonomous vehicle software.
What you'll do
- Architect onboard GPU workload sharing, scheduling, multi-tenancy, isolation, and deterministic latency.
- Set and deliver a multi-year roadmap to reduce onboard compute, and guide hardware selection and platform bring-up.
- Lead inference performance strategy and mentor senior engineers while aligning technical plans across teams and leadership.
What they ask for
- BS in computer science, computer engineering, or a related field.
- 10+ years in systems or performance engineering, including leading GPU or accelerator architecture across teams, or building and leading a performance engineering team.
- Deep CUDA platform and NVIDIA GPU microarchitecture expertise (Ampere through Blackwell, Orin, Thor).
- Proven end-to-end performance gains; working knowledge of ML inference optimization and expert C++ on Linux.
Nice to have
- Real-time or embedded GPU experience in autonomy, robotics, AR/VR, games, or HPC.
- Production GPU multi-tenancy, new GPU architecture or platform bring-up, benchmarking, or workload modeling.
Pay
USD 339,000–455,000 (per-year-salary) — base salary
Tools
CUDA, NVIDIA GPU, TensorRT, XLA, Triton, C++, Linux, MPS
AI focus
Leads onboard ML inference optimization, including TensorRT, CUDA, custom kernels, quantization, and model-hardware alignment.
Model-written summary · the original posting is authoritative