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 worlds 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.
As Waymo becomes a multi-product company, Trucking will be our second largest opportunity and will see massive growth in 2020 as we tackle the unique challenges that it presents. We believe that commercial trucking, the backbone of our economy, stands to reap untold benefits by deploying autonomous trucks, particularly during long-haul stretches. Roads will be safer. Goods will be cheaper. Truckers will be called upon to use their skills in new ways while the truck itself becomes a trusted navigation partner.
In this role, youll be working with a small but rapidly growing team, benefitting from shared technology and expertise of the greater Waymo and Alphabet organizations. We are looking for software engineers and roboticists who are passionate about evolving the safety-critical perception system for self-driving trucks beyond the state of the art.
In this role, you will
Collaborate closely with a creative team of engineers and researchers.
Adapt and extend existing perception systems for deployment on a fleet of Waymo trucks, while creating all-new approaches where needed
Analyze dependencies and interactions in a complex robotic system and creatively overcome limitations of individual components and sensor modalities through orchestration, fusion or design of missing links.
Prototype and deploy robust and reliable solutions to cutting-edge perception problems.
Improve how our vehicles act and react in complex, nuanced, and rare situations
Evaluate and understand the cross-functional, trucking-specific challenges that need to be tackled to operate a large fleet of autonomous trucks safely and efficiently
We'd like you to have at a minimum
B.Sc. in Computer Science, Electrical Engineering, Mathematics or a related field.
5+ YOE with hands-on experience in robotics or autonomous systems projects (2+ years).
Deep technical knowledge in at least one of robotics, computer vision, LIDAR, autonomous systems, sensor fusion, pattern recognition, localization and mapping
Strong algorithm and C++ programming skills.
It's preferred if you have
M.Sc. or Ph.D. in robotics, autonomous systems or a related field.
Extensive experience in robotics/autonomous systems.
Industry research or production experience.