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 Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data.
This role follows a hybrid work schedule and reports to The Engineering Director; Mapping.
You will:
- Oversee multiple software teams in Waymo Mapping, covering Data/Eval, Infrastructure, and Tooling
- Scale Waymo's mapping systems to support mapping the entire world
- Shepherd the team through the agentic transition, both for coding and map automation
- Partner closely with multiple ML teams to productionize state-of-the-art ML systems
- Coordinate with the Mapping Operations team on rolling out new features and tools
You have:
- Significant experience as a people manager, including as a manager of managers
- Proven track record of leading a software team to solve difficult technical challenges
- Strong horizontal leadership abilities to successfully deliver on efforts involving many partner teams
- A bias towards execution
- Excellent technical judgement
We prefer:
- M.S. or Ph.D in Computer Science or a similar technical field, or equivalent practical experience
- 8+ years of experience with large scale distributed systems
- Experience overseeing multiple teams
- Background in data/eval for ML systems
- Experience with large-scale infrastructure and data processing frameworks
- Background in mapping
#LI-hybrid
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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