The opportunity
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 access to…
What you'll do
Drive the automation of the hardware lifecycle for critical sensors (lidar,: radar, cameras) and compute modules.
Develop and deploy agentic systems and foundation models to streamline: workflows between internal teams and contract manufacturers.
Identify opportunities to apply AI to manufacturing, installation, and: troubleshooting processes to increase operational velocity.
Interface with a diverse set of stakeholders, including hardware design: engineers, failure analysis engineers, and diagnostic teams, to translate physical requirements into technical specifications.
Bridge the gap between experimental ML models and high-scale production environments.
A Masters or PhD in Machine Learning, Computer Science, or a related technical field.
What they're looking for
- A proven track record of delivering working engineering solutions, balancing: scientific rigor with production needs.
- Experience in training, evaluating, and deploying machine learning models at scale.
- Strong communication skills and the ability to collaborate across: multidisciplinary teams (from field technicians to hardware designers).
- Hands-on experience or deep familiarity with agentic tools and frameworks.
