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

🎯 Requirements

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 with analysis of latency for safety-critical software systems (bonus)
Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce
Background in Bayesian statistics (bonus)

🎁 Benefits

Paid time off (sick leave, vacation, bereavement)
Unpaid time off
Zoox Stock Appreciation Rights
Amazon Restricted Stock Units (RSUs)
Health insurance
Long-term care insurance

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