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Salary
$213k – $263k per year
Location
Hybrid (Mountain View, United States)
Seniority
Senior · 5+ 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 Oct 10, 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 our Vehicle Interaction team as a Senior Software Engineer, where you will tackle critical autonomous driving challenges and contribute to our mission of safety and building the world's most trusted driver. You will design, evaluate, and deploy learned interaction policies, collaborate cross-functionally, integrate learned models into simulation environments, and focus on high-impact product outcomes. This hybrid role offers competitive compensation, comprehensive benefits, and opportunities for professional growth.

Missions

  • Design, evaluate, and deploy learned interaction policies to handle complex navigation and yielding scenarios.
  • Collaborate cross-functionally at the intersection of prediction and planning, leveraging large-scale models to solve complex agent interaction problems.
  • Integrate learned models into closed-loop simulation environments, benchmark against rigorous safety metrics, and drive seamless transitions to production releases.

Profil recherché

- Proven capability to collaborate effectively across cross-functional engineering teams

- Hands-on experience building ML models, including expertise in learned driving policies (RL/imitation learning), PyTorch or JAX, closed-loop simulation evaluation, and a proven track record of shipping models to production

- 5+ years of software engineering experience developing high-performance, efficient C++ code

- BS in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience

- MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field

- Demonstrated software engineering expertise in motion planning or related autonomous systems problems

- Technical leadership experience guiding engineers or leading small project teams

- Experience building, training, and benchmarking machine learning systems at scale

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