Staff / Senior Staff Machine Learning Engineer - Collision Avoidance System
Zoox · Foster City, CA
Posted November 4, 2026
AI Summary
Zoox is seeking a Staff or Senior Staff Machine Learning Engineer to serve as technical lead and architect for the Collision Avoidance System (CAS), an independent safety layer that monitors for imminent collisions and reacts within milliseconds. The role owns CAS perception end-to-end, combining classical geometric methods with learned models to turn lidar, radar, and camera data into real-time obstacle detection, tracking, and collision-risk estimates, shipped in production safety-critical C++. It also involves setting the multi-release technical roadmap and coordinating across perception, planning, validation, and sensor teams.
Job Description
As a Staff or Senior Staff engineer, you will be the technical lead for CAS algorithms, with a focus on CAS perception. You will shape how CAS sees the world, combining interpretable geometric methods with machine learning, and you will own the architecture and roadmap that take these capabilities from idea to safe, real-time deployment on our fleet. Your work will directly affect the safety of every rider and road user around our vehicles.
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