Collision Avoidance Metrics Engineer

Zoox; Foster City (CA); On-site; USD 185,000 - 251,000; Full time

Benefits offered by this job

Comprehensive benefits

RSUs and stock options

Job summary

Zoox is seeking a CAS Verification & Validation engineer to apply distributed computing algorithms to analyze petabytes of urban driving data and develop metrics to measure system performance. You will work with CAS, SDMA, and QA teams to validate features and performance.

As part of a multidisciplinary group, you will collaborate with Perception and Planning engineers to define metrics for autonomous driving and to ensure robust, safety-focused validation across dense urban environments.

Qualifications

• BS, MS, or PhD in computer science or a related field.
• Fluency in C++ and/or Python.
• Extensive experience with programming and algorithm design.

Responsibilities

• 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.

Skills

C++

Python

Programming & algorithm design

Education

BS, MS, or PhD in computer science or a related field

Job description

Zoox is seeking a CAS Verification & Validation engineer to apply distributed computing algorithms to analyze petabytes of urban driving data and develop metrics to measure system performance. You will work with CAS, SDMA, and QA teams to validate features and performance.

As part of a multidisciplinary group, you will collaborate with Perception and Planning engineers to define metrics for autonomous driving and to ensure robust, safety-focused validation across dense urban environments.