Senior Real-Time GPU Performance Architect (C++, CUDA)

Zoox; Foster City (CA); On-site; USD 217,000 - 307,000; Full time

Benefits offered by this job

Zoox Stock Appreciation Rights

Amazon RSUs

Health insurance

Long-term and short-term disability保险

Paid time off (sick leave, vacation, &

Bereavement leave

Job summary

Zoox is seeking a highly skilled engineer to build real-time instrumentation and benchmarking tools for performance monitoring across CPU, GPU, latency, and memory in CI/vehicle environments. You will analyze metrics to identify GPU hotspots, debug and optimize GPU kernels, and help bring serial algorithms to the GPU to maximize compute utilization.

As part of the Core team, you will help design a middleware framework that promotes efficient and performant code development by maximizing CPU and

Qualifications

• 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).

Responsibilities

• 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.

Job description

Zoox is seeking a highly skilled engineer to build real-time instrumentation and benchmarking tools for performance monitoring across CPU, GPU, latency, and memory in CI/vehicle environments. You will analyze metrics to identify GPU hotspots, debug and optimize GPU kernels, and help bring serial algorithms to the GPU to maximize compute utilization.

As part of the Core team, you will help design a middleware framework that promotes efficient and performant code development by maximizing CPU and