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Waymo in San Francisco is seeking experienced software engineers and data scientists to improve the quality of its autonomous driving technology. As part of the Planner Evaluation team, you will develop signals to measure driving performance, collaborate across teams, and utilize rich data for decision-making.
The ideal candidate will have a BS in a quantitative area and 4-7 years of industry experience in coding and statistical analysis. The role offers a hybrid work schedule and competitive salary, with additional annual bonus and equity incentives.
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.
The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data‑minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!
This role follows a hybrid work schedule and reports to anSr. Engineering Manager.
Salary Range: $251,000 - $310,000 USD.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous company benefits program, subject to eligibility requirements.