2026 Summer Intern, MS/PhD, Systems Engineer, Rider Comfort

Waymo•Mountain View, CA

68d•$70 - $85•Hybrid

About The Position

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. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

Requirements

Python or other scripting language (e.g. R, MATLAB, JavaScript)
Statistics or data science or signal processing
Newtonian physics (F=ma) or biomechanics or kinesiology or other dynamics/mechanics
User experience (UX) or other human factors / physiological coursework
Technical writing

Nice To Haves

SQL or other query language
Automotive, aerospace, or controls engineering
Vehicle dynamics or other advanced physics / dynamics coursework
Eager to work with cross-functional groups on a multi-faceted ambiguous problem.

Responsibilities

Research prior art in rider comfort among industry, academia, and intra-Waymo (existing features & metrics).
Develop metrics to measure rider comfort. Develop SQL queries to measure large-scale over the Waymo vehicle fleet. Look for trends and correlations (e.g. surface street vs highway).
Draft requirements to formalize testable performance expectations for rider comfort. Consult with test engineers to establish V&V methods.
Propose driving behavior changes. Work with SWEs to implement proof of concept, and run simulation or in-vehicle eval to measure improvements or regressions.

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