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 is rapidly scaling its driving technology to new cities and geographies. A continual focus on operational efficiency, compliance, and safety is critical to this mission. The Driver Refinement & Validation organization builds the technology and tools to rapidly discover, iterate, and mitigate complex vehicle behaviors while scaling performance in a data-driven way.
The PUDOs (Pick-up/Drop-off) team is directly responsible for perfecting how our fully autonomous car executes pullovers—improving key driving scenarios like passenger pick-ups and drop-offs, parking, and deliveries. As we expand, our goal is to build the advanced signals and software necessary to seamlessly scale the Waymo Driver's performance across these critical real-world touchpoints in every new market.
In this role, you will report to a Technical Lead Manager.
You will:
- Work closely with Technical Leads and Technical Lead Managers in the org to design and implement horizontal solutions to solve behavioral driving across PUDOs (pick up & drop off)
- Build quantitative evaluation techniques of on-road performance to drive data-driven development
- Work closely with partners across Product and the Onboard stack
- Provide mentorship for junior engineers on the team
- Develop foundational frameworks that help advancement of the Waymo Driver's capabilities
- Directly contribute to solving some of the most challenging driving situations in the long tail
You have:
- PhD, Masters, or Bachelors degree in Computer Science, Machine Learning, Robotics
- 8+ years of Software Engineering experience in complex systems
- Evaluation experience, contributing to scalable eval workflows and building metrics for ML models and analyzing large datasets
- High quality API design with an eye towards evaluation and data-driven techniques
- Experience with working and solving design problems that span multiple components
- Ability to collaborate within and across teams
- Two or more years of management experience
We prefer:
- AV or Robotics experience
- Experience with Machine Learning models in production systems
- Coding proficiency in C++, Python, and SQL
