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Zoox, maker of the world's first purpose-built commercial robotaxi, is seeking a Senior Software Engineer specializing in GPU compute performance. The Planner Compute team owns the largest single software component within the autonomy stack—the motion planner—where low latency and consistent resource utilization are critical for safe operation.
You will be an expert in GPU performance optimization, responsible for instrumenting, monitoring, analyzing, and optimizing GPU-based algorithms that are performance-critical to the solution. The scope spans machine learning inference to custom CUDA kernels written specifically for the motion planner.
Key responsibilities:
- Analyze performance metrics to identify GPU hotspots and optimization opportunities
- Contribute to adapting the current planner to multiple GPU architectures with different resource constraints
- Optimize ML models for latency and GPU memory usage
- Serve as a subject matter expert on CUDA and GPU performance, supporting engineers across the Planner team
Requirements:
- BS in Computer Science or related field with 3+ years of experience
- Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and hands-on experience debugging and optimizing GPU kernels using tools like Nsight
- Strong C++ skills and experience working in large codebases; comfortable in Linux development environments
- Experience developing, debugging, and profiling complex multiprocess systems (e.g., robotic systems, game engines)
Bonus: GPU kernel development experience
