- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Feb 9, 2026
- Salary
- $251,000–$310,000 a year
Staff TLM, Perception, Sensor Pipelines
Job description
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet.
Perception has many different vertical pipelines solving different real-world problems beyond just object detection and understanding, the Sensor Pipelines team works on a diverse portfolio of problems such as weather, road surface understanding, visibility, and…
Job responsibilities
- Manage a team of Software engineers & Machine Learning engineers to estimate the weather conditions around a vehicle.
- Develop Machine Learning models that work well in low-data regimes (few-shot learning etc).
- Work with downstream customer teams to set requirements, align with their product roadmaps, etc.
- Responsible for people development and hiring for a growing team, build resilient and high performing teams.
- Drive the team to design excellent ML solutions in collaboration with TLs in the team, and foster an atmosphere of high achievement.
- Represent the team in the larger Perception and Onboard group, including collaborating with other leads around on staffing and planning.
- Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects.
Job requirements
- Bachelor’s in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
- Experience managing software engineers, and managers of software engineers.
- Both general previous experience in ML, as well as hands-on experience managing and leading ML projects.
- 8+ years of industry experience
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