Our Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and is therefore foundational in enabling results from many other teams across Zoox. This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox achieve our goals to deliver autonomous mobility.

Together with the Localization team, you will develop software that measures the performance and stability of our pose systems. It will run at scale in the cloud on large Datasets, leveraging validation tooling and resources from across the Autonomy team. You will help define key metrics, and enable more efficient metric collection/analysis that will prevent regressions, drive performance improvements, and allow our Localization systems to scale.