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. Within the Perception organization, the Semantics team is comprised of three specialized subgroups, each solving a critical aspect of scene understanding. The Vulnerable Road Users (VRUs) subgroup focuses on identifying and interpreting the behavior of pedestrians, cyclists, and other vulnerable road users to enhance safety and rider comfort. The Traffic Control subgroup is dedicated to developing and deploying advanced ML models that interpret traffic lights, signs, and other controls, with an important focus on improving map robustness. The Scene Semantics subgroup addresses the complexities of unstructured environments like construction zones and emergency scenes, driving architectural upgrades and new feature development. Together, we use end-to-end ML expertise to build perception systems essential for safe and efficient autonomous operation. In this hybrid role, you will report to the Senior Engineering Manager of Semantics.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Bachelor's degree
Number of Employees
1,001-5,000 employees