About the job
Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven on public roads, our systems have demonstrated extensive real-world experience across 15+ U.S. states.
As part of the Perception organization, the Semantics core team is divided into three specialized subgroups, each focusing on vital aspects of scene understanding. The Vulnerable Road Users (VRUs) subgroup emphasizes identifying and interpreting the behaviors of pedestrians, cyclists, and other vulnerable road users to enhance safety and rider comfort. The Traffic Control subgroup aims to create and implement advanced ML models that interpret traffic lights, signs, and controls, concentrating on improving map robustness. Meanwhile, the Scene Semantics subgroup tackles the intricacies of unstructured environments, such as construction zones and emergency scenes, driving architectural advancements and new feature developments. Collectively, these teams utilize comprehensive end-to-end ML expertise to build robust perception systems critical for the safe and efficient operation of autonomous vehicles.
In this hybrid role, you will report to the Technical Lead Manager of Semantics.