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Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves.
Job Responsibility:
Design and deliver software to evaluate self driving stacks
Define metrics for evaluating the performance of self driving stacks, such as perception, prediction, planning, etc.
Write batch pipelines to evaluate self driving stack using real world driving data
Explore simulation techniques to enrich the evaluation dataset
Requirements:
Minimum 2 years of total experience in the self driving industry
Bachelor degree in computer science, computer engineering or related fields
Proficient in Python, Linux, Spark or Ray
Familiar with Machine Learning and statistical analysis
Nice to have:
Prior experience with Perception, Prediction or Planning for autonomous vehicles