- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Software
- Posted
- Aug 24, 2026
- Salary
- $349,000–$431,000 a year
Principal Software Engineer, Post Training
Job description
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.
The Onboard Software team develops the critical software and machine learning models that power the Waymo Driver.
Job responsibilities
- Advance the state-of-the-art post-training techniques in the AI running on board the autonomous vehicle
- Keep up with post-training research and find the right applications for the unique problems at Waymo
- Participate in the leadership community advancing the ML stack across Waymo in general
- Partner with teams developing ML platforms to develop them for effective, scalable post-training
- Partner with teams not yet using post-training effectively to understand their needs and guide them to effective post-training strategies
Job requirements
- MS in computer science with an emphasis in machine learning or equivalent degree (PhD preferred)
- 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 building metrics, data, and flywheels for post-training applications
- Experience influencing without authority at the director and VP level or higher
- An ability to balance influencing day-to-day leadership on the ground with developing and influencing engineering strategy
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