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Senior/Staff Software Engineer, ML Inference Optimization

Zoox· Software – Software Systems
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Hybrid (Foster City, CA / Seattle, WA)$254k - $350kFull-timePosted 11mo ago

About the role

Role focused on ML Inference Optimization within Zoox's ML Platform, driving fast and efficient ML models for autonomous driving, including VLMs, VLAs, and Foundational models, and collaborating with Autonomy teams.

Responsibilities

  • Develop and execute a strategic vision for the ML Inference Optimization team to unlock ML innovation in autonomous driving and rider experience.
  • Lead the design, implementation, and operation of cutting-edge ML Training OR Inference performance optimization techniques to scale VLM, VLA, and Foundational models and deploy them efficiently in robotaxi.
  • Collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.
  • Enable the engineers in the team to grow their careers by providing technical guidance and mentorship.

Qualifications

  • Strong experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training.
  • Experience with GPU-accelerated inference using TensorRT or similar frameworks.
  • Experience using profiling tools like NVIDIA's Nsight or PyTorch's Profiler for identifying model training and serving bottlenecks.
  • Proficient in Python and C++
  • Experience with model compression techniques to reduce model size and improve performance.

Skills

Required:PyTorchGPU-accelerated inferenceProfiling toolsPythonC++Model compression
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Zoox

It's Not a Car | Zoox

Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.

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