Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles. Take a ride now. Backed by Bessemer, Kleiner Perkins and Sequoia.
About the role
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
What they're looking for
- PhD, Masters, or Bachelors degree in Computer Science, Machine Learning, Robotics
- 8+ years of Software Engineering experience in complex systems
- Evaluation experience, contributing to scalable eval workflows and building metrics for ML models and analyzing large datasets
- High quality API design with an eye towards evaluation and data-driven techniques
- Experience with working and solving design problems that span multiple components
- Ability to collaborate within and across teams
More about this role
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 mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo is rapidly scaling its driving technology to new cities and geographies. A continual focus on operational efficiency, compliance, and safety is critical to this mission. The Driver Refinement & Validation organization builds the technology and tools to rapidly discover, iterate, and mitigate complex vehicle behaviors while scaling performance in a data-driven way.
The PUDOs (Pick-up/Drop-off) team is directly responsible for perfecting how our fully autonomous car executes...
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