Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures.
Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.
Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.
Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.

Requirements

BS in computer science or related field and 7+ years of experience.
Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.
Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.
Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).

Benefits

health insurance
long-term care insurance
long-term and short-term disability insurance
life insurance
paid time off (e.g. sick leave, vacation, bereavement)
unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CUDAC++performance monitoringdebuggingoptimizing GPU kernelsprofilingmultiprocess systemsreal-time instrumentationoffline benchmarkinglatency analysis

Certifications

BS in computer science