Staff Software Engineer, Data & Evaluation
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 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.
Requirements
- Experienced technical leader
- > 7 years of total experience
- Experience with statistical analysis.
- Experience with large-scale data processing using frameworks like Google Data Flow or Apache Beam
- Proven track record of leading a team to solve difficult technical challenges
- Willingness to own problems end-to-end and work on various parts of the system
- A passion for good software engineering
Nice To Haves
- M.S. or Ph.D in Computer Science or a similar technical field, or equivalent practical experience
- Experience in Mapping and Localization
Responsibilities
- Evaluate and launch machine learning models that automatically generate map from raw data.
- Work with onboard teams to evolve Waymo’s mapping format to make it more automation friendly.
- Apply statistical analysis to validate large-scale changes.
- Build backend infrastructure for storing and processing many forms of map data
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
