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Salary
$349k – $431k per year
Location
Hybrid (Mountain View, United States)
Seniority
Principal · 10+ years exp
Visa
H-1B filings in 12 months: 331 · for this role: 234 · green card filings: 28
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Sep 4, 2026. Waymo scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Waymo is an American autonomous driving company that began as the Google self-driving car project in 2009 and became a standalone Alphabet subsidiary in 2016. It operates the largest fully driverless commercial ride-hailing service in the world through the Waymo One app, carrying paying passengers with no human in the vehicle across Phoenix, San Francisco, Los Angeles, Austin and an expanding list of cities. Headquartered in Mountain View, California, the company builds its own sensor suite and the Waymo Driver software stack, integrates them into vehicles from partners such as Jaguar, Zeekr and Hyundai, and also develops autonomous trucking technology.

Join Waymo as a Principal Software Engineer, where you will play a key role in advancing the technology behind the Waymo Driver. Your primary responsibility will be to develop and lead a strategy for a next-generation post-training system, building on existing large-scale models. You will have the opportunity to influence the development of these models and advance the state-of-the-art post-training techniques in AI for autonomous vehicles. This role follows a hybrid work schedule and offers a comprehensive benefits package.

Missions

  • Advancing the technology to power the Waymo Driver and help it scale to dramatically more miles and locations across the world.
  • Developing and leading a strategy for a next-generation post-training system on top of existing large-scale models.
  • Participating in the leadership community advancing the ML stack across Waymo and partnering with teams to develop effective, scalable post-training strategies.

Profil recherché

- An ability to balance influencing day-to-day leadership on the ground with developing and influencing engineering strategy

- MS in computer science with an emphasis in machine learning or equivalent degree (PhD preferred)

- Experience building metrics, data, and flywheels for post-training applications

- 10+ years of leadership experience in a large-scale machine learned production system

- Experience leading a post-training system that is used in production with 100M+ users, solving multiple targeted problems in parallel

- Experience influencing without authority at the director and VP level or higher

- Experience with utilizing ML in AV and/or other robotics applications

- Experience building a post-training platform from scratch

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