Staff / Senior Staff Machine Learning Engineer - Collision Avoidance System

Zoox; Foster City (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Zoox in Foster City, CA is seeking a Staff or Senior Staff engineer to lead the Collision Avoidance System perception efforts. You will shape how CAS sees the world by combining interpretable geometric methods with machine learning and will own the architecture and roadmap to bring capabilities from concept to live deployment on our fleet.

You will drive safety-critical perception solutions, mentor engineers, and collaborate across teams to ensure robust, scalable CAS that operates in real time

Responsibilities

• Lead CAS perception algorithms and related sensing and interpretation modules.
• Own the CAS architecture and roadmap for safe, real-time deployment on Zoox’s fleet.
• Collaborate with autonomy and safety teams to ensure robust, interpretable solutions.

Job description

The Collision Avoidance System (CAS) is Zoox's independent safety layer. It runs alongside our main autonomy stack, constantly watches for imminent collisions, and reacts within milliseconds to prevent or reduce them. By using different methods and data paths than the main stack, CAS gives our robotaxi a second, diverse line of defense in the most challenging dense urban environments.

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.