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.
In this role, you will:
- Apply distributed computing algorithms to analyze petabytes of urban driving data.
- Develop metrics and tools to analyze errors and system improvements.
- Work closely with CAS engineers to evaluate system performance.
- Collaborate with Perception engineers to define metrics for autonomous driving.
- Partner with Planning engineers to measure performance in complex urban environments.
Qualifications:
- BS, MS, or PhD degree in computer science or a related field
- Fluency in C++ and/or Python
- Extensive experience with programming and algorithm design
Bonus Qualifications:
- Experience with analysis of latency for safety-critical software systems
- Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)
- Background in Bayesian statistics
Skills Required
- BS, MS, or PhD degree in computer science or a related field
- Fluency in C++ and/or Python
- Extensive experience with programming and algorithm design
- Experience analyzing latency for safety-critical software systems
- Experience with petabyte-scale distributed computing, including Spark, Databricks, or MapReduce pipelines
- Background in Bayesian statistics
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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