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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.
In this role, you will:
- 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
- Scale our systems to support mapping the whole world
You have:
- B.S. in Computer Science or a similar technical field, or equivalent practical experience.
- 3+ years of industry experience
- Experience with statistical analysis.
- Experience with large-scale data processing using frameworks like Google Data Flow or Apache Beam
- Willingness to own problems end-to-end and work on various parts of the system
- A passion for good software engineering
It's a Bonus if you have:
- M.S. or Ph.D in Computer Science or a similar technical field, or equivalent practical experience
- Experience with Tensorflow and/or C++
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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