About the job
Waymo is leading the charge in autonomous driving technology, striving to become the world’s most trustworthy driver. Established as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while preventing countless fatalities caused by traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and an impressive track record of more than 100 million miles driven autonomously on public roads, alongside tens of billions of simulated miles, we operate across 15+ states in the U.S.
The Waymo Safety team is committed to advancing and continuously refining the safety of our autonomous driving technology. Our specialists develop safety objectives and strategies, conducting safety engineering analyses to ensure that safety is integral to vehicle design and development. This team is key in formulating and advocating for safety policies regarding autonomous vehicles in collaboration with regulatory bodies, lawmakers, law enforcement, and public and non-profit organizations. Additionally, our Safety Team plays a crucial role in ensuring compliance with environmental, health, and safety regulations.
In this hybrid role, you will report to a Safety Research Manager.
Your Responsibilities:
- Design and execute safety research projects focused on safety impact and severity estimation, utilizing advanced methodologies and forming research partnerships with field experts.
- Publish and present peer-reviewed safety research in top-tier safety journals and conferences.
- Acquire and sustain safety-related data sources to facilitate research initiatives.
- Assist, and lead when necessary, internal safety assessments that determine design and/or evaluation objectives.
- Support the development of internal safety assessment practices aligned with the Waymo Safety Framework and Safety Case concerning severity estimation and scenario-based testing.

