Staff Software Engineer, Planner Reasoning
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. The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver’s behavior. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. As a Technical Lead, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities. In this hybrid role, you will report to an Engineering Manager.
Requirements
- PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field
- Experience manipulating and analyzing large datasets
- Experience with working and solving design problems that cut across multiple components. High quality API design with an eye towards eval and data driven techniques.
Nice To Haves
- Experience in the autonomous driving domain, including areas like motion planning or perception
- Proficiency in SQL
- Proficiency in C++
- Evaluation experience, contributing to scalable eval workflows and building metrics for ML models
Responsibilities
- Working closely with leads and TLMs in the org to design and implement horizontal solutions to solve behavioral driving issues in new geos
- Build quantitative evaluation techniques to drive data driven development
- Work closely with partners in Mapping, Product, and the rest of the Onboard stack
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
