About the job
Waymo is at the forefront of autonomous driving technology, striving to become the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, our mission has been to develop the Waymo Driver—the world's most experienced driver—to enhance mobility access and save countless lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be adapted to various vehicle platforms and product applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, along with tens of billions of miles simulated across more than 15 U. S. states, we are redefining transportation.
The Perception team is dedicated to building systems that learn the spatial-temporal representations and semantic meanings of the environment around the autonomous driving vehicle (ADV). We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our research tackles real-world challenges and involves collaboration with Alphabet’s research teams. With access to millions of miles of diverse driving data from various sensors, our engineers develop methods for efficient and continuous learning from large-scale real-world data, model training at scale, real-world behavior analysis, and optimizing models for both onboard and offboard hardware.
In this hybrid role, you will report to a Technical Lead Manager.
