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.

Our mission within the Driver Understanding and Evaluation (DUE) team at Waymo is to develop rich metrics for understanding the behavior of the Waymo Driver in the real world.

In this hybrid role, you will report to a Software Engineering Manager.

You will:

• Build the infrastructure to administer a "virtual driver's test" for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines to evaluate the driving capability of the Waymo Driver.
• Improve the signal quality provided by the "virtual driver's test". Improve the quality of individual simulations and that of the overarching simulation workflows. Try to answer whether the results of the "virtual driver's test" are predictive of the Waymo Driver's real-world driving behavior.
• Apply ML models from partner teams, and optionally contribute to them yourself, to improve the efficiency of our "virtual driver's test": simulate the most interesting situations and report the most interesting simulation results.

You have:

• 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience
• C++ proficiency
• Python familiarity
• SQL familiarity

• Excited about autonomous driving, Simulation + Eval

We prefer:

• 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system.
• B.Sc. in Computer Science
• Experience working with large FAANG scale distributed systems.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

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.