Software Engineer, Zoox

• 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 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)

Desirable

• Zoox made the world’s first purpose-built commercial robotaxi, combining advanced self-driving hardware and software
• In order to ensure safe operation, low latency and consistent resource utilization are critical
• The Planner Compute team is responsible for the performance of the largest single software component within the autonomy stack, the motion planner
• The Planner Compute team is looking for an expert in GPU performance
• You will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution
• The scope for GPU usage ranges from machine learning inference to custom CUDA kernels written specifically for the motion planner
• Analyze performance metrics to identify GPU hotspots and optimizations
• Contribute to the adaptation of our current planner to multiple GPU architectures with different resources
• Optimize ML models for latency and GPU memory usage
• Support engineers within Planner as a subject matter expert on CUDA & GPU performance