Zoox
Software Engineer - Collision Avoidance System Metrics
Foster City, CA · On-site · Unspecified
- Discipline
- Software
- Industry
- Automotive
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Software
The CAS Verification & Validation (CAS V&V) team defines and builds metrics to measure the Collision Avoidance System performance and collaborates with SDMA and QA to develop validation plans for features.
Required
- software
- systems
- data
- validation
- metrics
- CAS
- Perception
- V&V
Preferred
- deep learning
- sensor data processing
- verification and validation planning
- metrics development
- industrial automation
- autonomy stack
Employer description
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.
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