Software Engineer - Collision Avoidance System Metrics

The role

You will apply distributed computing to analyze petabytes of urban driving data. You will build metrics and tools to measure errors and system performance, working with CAS, Perception and Planning engineers.

What you will do

• 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.

Required 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

Nice to have

• 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

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to bring this technology to market. It aims to provide next-generation mobility-as-a-service in urban environments.