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Salary
$238k – $302k per year
Location
Hybrid (San Francisco, Mountain View, United States)
Seniority
Staff · 6+ years exp
Visa
H-1B filings in 12 months: 331 · for this role: 261 · green card filings: 28
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on May 28, 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, the leader in self-driving technology. As a Staff Technical Lead Manager in the Perception Team, you will lead a team of ML engineers focused on sensing anomaly detection. You will shape the Waymo Driver's performance under challenging conditions and drive collaborations between various teams. Enjoy a comprehensive benefits package, including medical, dental, and vision insurance, competitive compensation, and a hybrid work model.

Missions

  • Lead and build a team of ML engineers responsible for quick and efficient sensing anomaly detection.
  • Shape a Waymo Driver that performs reliably even under difficult adverse sensing conditions.
  • Drive and accelerate collaborations between perception, system engineering, evaluation, and Alphabet teams.

Profil recherché

- MS in Computer Science, Robotics, Math, Physics or equivalent industry experience

- 6+ years of experience in designing, training, and deploying ML-driven real-time robotics systems

- 2+ years of people management experience

- 4+ years of experience leading technical teams and setting technical directions

- PhD in Computer Science, Robotics, Math, Physics, or a related technical field

- Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges

- Experience in robotics, autonomous systems, or related automotive industries

- Familiarity with early fusion multi modal sensor models and their development challenges

- Experience with rare instance or zero-shot detection problems

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