hirq
← All jobs

Zoox (Lever)

Software Engineer - Collision Avoidance System Metrics

Foster City, CA · Hybrid · Full-time · Autonomy Software

Apply well, not just fast

Create a free account and upload your resume to get a match score, keyword gaps, a tailored resume, a cover letter and interview prep for this job.

About the role

Deep LearningQuality Assurance
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 Artificial Intelligence (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. The CAS Verification & Validation (CAS V&V) is a multidisciplinary team data, software and systems engineers defining and building metrics to measure the Collision Avoidance System performance and work with the Systems Design and Mission Assurance (SDMA) and QA teams to develop validation plans for the features.