About the job
Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—the world's most experienced driver™—with the aim of enhancing mobility access while preventing the countless lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips under its belt and extensive experience driving more than 100 million miles on public roads, complemented by extensive simulations across 15+ U.S. states, Waymo is leading the charge in safe and efficient transportation solutions.
The Planner Evaluation team addresses a pivotal challenge in autonomous driving: enhancing and quantifying the software that drives our vehicles. We seek seasoned data-driven software engineers and data scientists passionate about autonomous vehicles and utilizing complex data to drive informed decisions. This is the perfect opportunity for someone eager to make a significant impact in the field!
In this hybrid role, you will report directly to an Engineering Manager.
You will:
- Develop performance metrics and driving quality signals for the Waymo driver utilizing various techniques, including statistics, mathematics, physics, algorithms, and machine learning.
- Innovatively use simulations and analyze real-world driving logs to assess driving performance.
- Design and implement robust methods to strengthen the correlation between changes in onboard software and simulated results.
- Advocate for code quality and best practices within a large and intricate code base.
- Analyze data and provide insights for enhancing metric quality and interpretability.
- Collaborate effectively with engineers, data scientists, statisticians, and leadership to deliver evaluation products and facilitate data-driven decisions.
- Rapidly validate the effectiveness of additional coverage, ensuring solutions are robust for customer teams to manage their own evaluations.