The Prediction team is responsible for forecasting the future state of all the dynamic agents around our vehicle. To account for the inherent uncertainty of predicting the future, our job is to compute a probabilistic representation over the future intentions and movement of other agents. The output from our Prediction system is then tightly integrated into our Planning system to deliver a safe and comfortable ride.
Apply distributed compute algorithms to efficiently analyze petabytes of urban driving data
Work closely with ML engineers to develop metrics and tools for analyzing errors and understanding improvements in our systems
Engineer software that runs on-vehicle to efficiently execute our algorithms in real time
Collaborate with engineers on Perception and Planning to solve the overall Autonomous Driving problem in complex urban environments
BS, MS, or PhD degree in computer science or related field
Fluency in C++
Extensive experience with programming and algorithm design
Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
Experience with latency of analysis and optimization of safety critical software systems
Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)
Prior experience with Prediction and/or autonomous vehicles in general
Strong mathematics skills
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.