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Software Engineer - Planner GPU Compute

Zoox· Software – Autonomy Software
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Hybrid (Boston, MA), Hybrid (Foster City, CA)$209k - $263kFull-timePosted 3w ago

About the role

Role focused on instrumenting, monitoring, analyzing, and optimizing GPU-based algorithms for the motion planner in Zoox's autonomy stack, with emphasis on latency, GPU memory usage, and multi-GPU architectures.

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

Qualifications

  • 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)

Skills

Required:CUDAC++

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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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