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Software Engineer, ML Infrastructure, Optimization

Nuro · Mountain View, California (HQ) · California - HQ

CHECKED 10H AGO

Roboticsonsite$160k–$241k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build core ML infrastructure powering Nuro's universal autonomy platform.
  • Deploy optimized models to Nuro's fleet of self-driving robots.
  • Design end-to-end learned solutions with behavior, perception and mapping teams.

What they offer

  • Annual performance bonus
  • Equity
  • Competitive benefits package

Ideal candidate

You are a collaborative ML infrastructure builder excited by full-stack model work from pipeline to on-road deployment. You care deeply about safe autonomy and accelerating robotics benefits for everyday life.

Requirements

  • 2+ years of relevant experience in ML optimization infrastructure
  • Experience with ML optimization techniques such as quantization and pruning, and ML compilers
  • Experience maintaining, profiling, and optimizing GPU ML compilers & runtimes
  • Proficient in Python and working experience with C++ and CUDA
  • Working experience with deep learning frameworks like PyTorch, Jax, Tensorflow, Keras

Lab profile

About Nuro

Builds Level 4 self-driving technology and the licensable Nuro Driver for robotaxis, fleets, and personal vehicles.

What they build

  • Nuro Driver
  • Level 4 autonomous driving technology

Known for

  • Scalable autonomy for all roads and rides
  • Cutting-edge AI with automotive-grade hardware
  • Proven self-driving deployments

Key facts

  • Founded in 2016
More about Nuro →
Apply on the lab’s site ↗