Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the World’s Most Experienced Driver in hopes of improving the world's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
The Planner Evaluation team is working on one of the most challenging problems in autonomous driving: evaluating whether our autonomous cars are good drivers. Beyond keeping our cars from colliding with things, we need to ensure that they don’t scare other drivers, pedestrians, or other people on the road (or their own passengers), that the ride they provide is comfortable, and that they’re following the rules of the road. By creating the metrics that define what good driving is, we can influence and improve onboard code both indirectly (by providing the quality signals for onboard engineers to aim for) and directly (by working with onboard engineers to incorporate signals into our motion planning code). At Waymo we have a ton of extremely rich data from which to extract relevant signals--if you like working with data, geometric reasoning, simulation, and/or machine learning, this is the place for you!
The Evaluation Infrastructure and Internal Tooling role is responsible for building infrastructure and tooling required for data driven, at scale behavioral evaluation of the planning software.
In this role you will:
We'd like you to have:
It's preferred if you have: