Senior Software Engineer - Planner GPU Compute
Hybrid (Boston, MA / Foster City, CA)$237k - $298kFull-timePosted 3w ago
About the role
Role focused on GPU performance for the motion planner within Zoox's autonomy stack, instrumenting, monitoring, analyzing, and optimizing GPU-based algorithms including ML inference and custom CUDA kernels.
Responsibilities
- Analyze performance metrics to identify GPU hotspots and optimizations
- Contribute to the adaptation of our current planner to multiple GPU architectures with different resources
- Optimize ML models for latency and GPU memory usage
- Support engineers within Planner as a subject matter expert on CUDA & GPU performance
Qualifications
- BS in computer science or related field and 8+ years of experience
- Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight
- Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments
- Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines)
Skills
Required:CUDAC++
Benefits
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Zoox
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Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.
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