Senior Software Engineer - Planner GPU Compute (CUDA)

Location: Hybrid in Boston, MA or Foster City, CA, United States

Company

Zoox develops purpose-built commercial robotaxis using advanced self-driving hardware and software.

What you will do

• Analyze performance metrics to identify GPU hotspots and optimization opportunities.
• Adapt the motion planner to multiple GPU architectures with different resource constraints.
• Optimize machine learning models for latency and GPU memory usage.
• Instrument, monitor, debug, and profile GPU-based algorithms and custom CUDA kernels.
• Support Planner engineers as a subject matter expert in CUDA and GPU performance.

Requirements

• Bachelor's degree in computer science or a related field.
• 3+ years of professional experience.
• Strong knowledge of CUDA and recent GPU microarchitectures, including Ampere and Blackwell.
• Experience debugging and optimizing GPU kernels with tools such as Nsight.
• Strong C++ skills and experience working in large codebases and Linux development environments.
• Experience developing, debugging, and profiling complex multiprocess systems such as robotic systems or game engines.

Culture & Benefits

• Work in the Software – Autonomy Software department.
• Contribute to safety-critical, low-latency robotaxi technology.
• Collaborate with engineers working on the motion planner and autonomy stack.