Software Engineer - Planner GPU Compute
Zoox•Boston, MA
•$209,000 - $263,000
About The Position
Zoox is seeking an expert in GPU performance for its Planner Compute team. This team is responsible for the performance of the motion planner, a critical software component in Zoox's autonomy stack. The role involves instrumenting, monitoring, analyzing, and optimizing GPU-based algorithms, including machine learning inference and custom CUDA kernels, to ensure safe operation, low latency, and consistent resource utilization for Zoox's robotaxi solution. The scope of GPU usage is broad, encompassing various architectures and resource constraints.
Requirements
- 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).
Nice To Haves
- GPU kernel development experience
Responsibilities
- 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
Benefits
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
