Software Engineer - E2e Autonomy

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · SDS Software Engineering

Software Engineer role focused on building ML tools and infrastructure for end-to-end autonomy research and production in self-driving vehicles. Responsibilities include scaling training, managing datasets, and supporting GPU compute and eval systems.

What you'd actually do

  1. Build tools and infrastructure to enable large-scale E2E autonomy research led by [Dr. Wei Zhan](https://www.linkedin.com/in/zhan-wei/)
  2. Work directly with both AI research and engineering teams to productionize next generation self-driving software
  3. Help scale end-to-end training by identifying bottlenecks, especially as we continue to scale our GPU compute, onroad data volume, curation efforts, and eval systems

Skills

Required

  • Exceptional software generalist experience with ambition to contribute up and down the ML stack, onboard the vehicle, and in the cloud
  • Strong fundamental skills in software & module design: can tame chaos with libraries & abstractions
  • Rapid analytical and problem-solving skills

Nice to have

  • Strong multi-language build system knowledge
  • Distributed systems/compute (e.g. k8s, cloud-managed services at scale)
  • ML infra fluency - has used and/or contributed to ML and large data systems

What the JD emphasized

  • large-scale E2E autonomy research
  • productionize next generation self-driving software
  • scale end-to-end training
  • scale our GPU compute
  • onroad data volume
  • curation efforts
  • eval systems

Other signals

  • building ML tools
  • infrastructure
  • large datasets
  • end-to-end autonomy stack
  • productionize next generation self-driving software
  • scale end-to-end training
  • scale our GPU compute
  • onroad data volume
  • curation efforts
  • eval systems