Job Description

Hybrid

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.

As a Data Engineer on the Collision Avoidance system, you will play a crucial role in driving dat-driven decision making by ensuring the availability of high-quality, reliable data and metrics for the team and Zoox as a whole. By doing so, you will contribute significantly to making autonomous vehicles safer for all passengers.

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