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 6+ 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

Salary
Amazon Restricted Stock Units (RSUs)
Zoox Stock Appreciation Rights
Sign-on bonus may be offered
Paid time off (sick leave, vacation, bereavement)
Unpaid time off

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot