Shape collision avoidance perception at Zoox as a Staff or Senior Staff engineer, combining geometric methods with machine learning. Lead CAS algorithms for real-time safety.
The Collision Avoidance System runs alongside Zoox’s main autonomy stack as an independent safety layer. You will define how CAS perceives its surroundings and guides capabilities from concept to deployment. The work centers on architecture, roadmap ownership, and diverse data paths for challenging dense urban environments.
Key Responsibilities: Lead technical direction for Collision Avoidance System algorithms
Shape CAS perception using geometric methods and machine learning
Own architecture for perception capabilities and deployment
Define the roadmap from ideas to fleet deployment
Support real-time collision prevention and risk reduction
Requirements: Staff or Senior Staff engineering experience
Expertise in CAS perception algorithms
Experience combining interpretable geometry and machine learning
Ability to lead architecture and technical roadmaps
Focus on safe, real-time deployment
Lead Zoox CAS perception architecture with geometric methods and machine learning for secure, real-time fleet deployment.

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📌 Staff CAS Perception Engineer (British Columbia)
🏢 Zoox
📍 British Columbia