Analyze performance metrics to identify GPU hotspots and optimizations
Contribute to the adaptation of our current planner to multiple GPU architectures with different
Optimize ML models for latency and GPU memory usage
Support engineers within Planner as a subject matter expert on CUDA & GPU performance

🎯 Requirements

BS in computer science or related field and 3+ years of experience.
Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and
Strong knowledge of C++ and experience in large code bases, comfortable in Linux development
Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic

🎁 Benefits

Paid time off (sick leave, vacation, bereavement)
Unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs
Health insurance
Long-term care insurance

🛃 Visa sponsorship

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