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Software Engineer - Collision Avoidance System Metrics
Zoox · Foster City, CA, United States
About The Role
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
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