An autonomous driving system typically comprises Sensing, Perception, Localization, Planning, and Control components. The World Understanding team owns responsibilities for Sensing, Perception, and Localization within Woven by Toyota for autonomous driving development. Specifically, the Sensor & Calibration sub-team, operating under the World Understanding team, focuses on Intrinsic and Extrinsic calibration of autonomous driving sensors, including Camera, LiDAR, Radar, and IMU. Our scope of work also encompasses the quality management of sensor data for post-processing activities and the operational management of calibration for our autonomous driving test vehicles.
The selected candidate will be responsible for accelerating our calibration & data validation systems as well as maintaining & improving its infrastructure used across multiple teams. The scope of this role encompasses the following: (1) Developing and scaling validation pipelines that process large quantities of LiDAR data in the cloud, (2) Collaborating with hardware and data engineers to supporting sensor data validation across a complete sensor set up: cameras, LiDARs, imus & radars, by (3) Authoring SQL-based validation tests to ensure data correctness and coverage, (4) Managing the teams calibration and validation services, ensuring robust and predictable operation, and (5) Improving the maintainability, reliability, and observability of these systems, (6) Maintaining and improving the team repositories, with an emphasis on simplification and long-term code health, (7) Evolving the teams Vision library to be more extensible, enabling other engineering teams to build reliably on top of it. Furthermore, candidates who exhibit a collaborative, “giver” mindset, proactively supporting partner teams while maintaining a strong focus on production-quality, scalable solutions, are highly valued.