Staff Software Engineer - GPU System Software, Onboard Execution

📋 Description

• Architect onboard GPU execution. Define how perception, prediction, and planning workloads share
• Drive compute reduction. Own the multi-year roadmap to cut onboard compute per vehicle by setting
• Shape hardware and platform direction. Guide next-generation compute decisions (GPU and SoC
• Lead inference performance at scale. Set direction for the inference stack (TensorRT, CUDA, custom
• Provide technical leadership. Lead and mentor senior engineers, align directors and VPs through

🎯 Requirements

• BS in computer science, computer engineering, or related field and 10+ years in systems or
• Deep CUDA platform (programming model, runtime, and driver) and NVIDIA GPU microarchitecture
• Proven record setting technical direction and delivering large, measurable end-to-end gains in
• Working knowledge of ML inference optimization (TensorRT, XLA, Triton, quantization, fusion) and
• Ability to align ML, systems, hardware, and leadership on a shared technical plan.

🎁 Benefits

• Salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights
• Sign-on bonus
• Comprehensive package of benefits including paid time off (sick leave, vacation, bereavement) and
• Health insurance
• Long-term care insurance
• Long-term and short-term disability insurance