
Waymo—formerly the Google self-driving car project—stands for a new way forward in mobility. Our mission is to make it safe and easy for people and things to move around.

Waymo—formerly the Google self-driving car project—stands for a new way forward in mobility. Our mission is to make it safe and easy for people and things to move around.
Core business: Autonomous driving technology and operator of Waymo One (fully autonomous ride-hailing service)
Ownership: Majority-owned by Alphabet
Recent fundraising: $16B investment round announced Feb 2026; $5.6B Series C in Nov 2024
Scale: Millions of autonomous miles driven and 20M+ rides served
Headcount (approx.): ~3,000 employees
Autonomous vehicle technology, robotaxi operations, and commercial deployment of self-driving systems.
2016
Autonomous vehicles / Mobility
$16 billion
Alphabet remained majority investor; round valued Waymo at $126B post-money (company statement)
$5.6 billion
Round announced in November 2024
“Round led by Dragoneer Investment Group, DST Global, and Sequoia Capital with Alphabet as majority investor; participation from Andreessen Horowitz, Mubadala Capital, Bessemer, Silver Lake, Tiger Global, and T. Rowe Price”
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Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. - Partner with Data Science, Engineering, Product and Operations teams to develop the fleet scheduling and orchestration models for Waymo - Build sophisticated Optimization models to decide when to launch and recharge vehicles, match vehicles to depots, and control traffic within the depots - Build Machine Learning models to predict the future state of the fleet - Use Statistics and Data Analytics to determine the performance of the model - Present on a regular basis to Waymo leadership - Experience with Optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc.) - Coding skills (Advanced Python and SQL) - Statistics and Machine Learning knowledge - Ability to structure and solve ambiguous problems - Demonstrated experience communicating and collaborating with different stakeholders and senior leadership - At least 4+ years of relevant experience - Experience with experimentation - Experience at another Ride hailing or Marketplace company - Experience with fleet management systems - Experience with autonomous traffic management systems 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. Salary Range $196,000—$248,000 USD