Software Engineer, Operational/ Process Efficiency

waymo · Mountain View, CA, US

Posted
4 days ago
Last confirmed live
1 day ago

What this role involves

This role focuses on automating hardware lifecycle and depot operations for Waymo's autonomous fleet using advanced robotics and machine learning. The engineer will develop agentic systems and foundation models to improve efficiency, interfacing with cross-functional teams. The position requires a Masters or PhD and experience deploying ML models at scale.

Skills this posting asks for

  • machine learning
  • reinforcement learning
  • simulation
  • foundation models
  • large language models (llms)
  • vision-language models (vlms)
  • agentic systems
  • machine learning deployment
  • hardware diagnostics
  • failure analysis
  • manufacturing processes
  • lidar
  • radar
  • cameras

Requirements

  • Remote policy: hybrid

From the employer’s posting

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve acce…

Read the full description on waymo’s careers page

Apply without filling the form

Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.

Other roles at waymo

All 128 roles at waymo