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Tech Stack
Tools & technologiesLinuxC++
About the role
Key responsibilities & impact- Analyze performance metrics to identify GPU hotspots and optimizations
- Contribute to adapting the current planner to multiple GPU architectures with different resources
- Optimize ML models for latency and GPU memory usage
- Support Planner engineers as a subject matter expert on CUDA and GPU performance
- Instrument, monitor, analyze, and optimize GPU-based algorithms that are performance-critical
- Help set the architecture of the combined ML and classical robotics system
Requirements
What you’ll need- 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)
- Experience debugging and optimizing GPU kernels using tools like Nsight
- Strong knowledge of C++
- Experience with large code bases
- Comfortable in Linux development environments
- Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines)
- GPU kernel development experience (bonus qualification)
Benefits
Comp & perks- Paid time off (e.g. sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon Restricted Stock Units (RSUs)
- Health insurance
- Long-term care insurance
- Long-term disability insurance
- Short-term disability insurance
- Life insurance
- Sign-on bonus may be offered