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Ann Arbor, Michigan, United States
Hybrid
TEAM
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.
WHO ARE WE LOOKING FOR?
The Sensor & Calibration sub-team is seeking a Software Engineer to support the development of sensor calibration tools for our next-generation autonomous driving system. The selected candidate will be responsible for the design and implementation of sensor calibration tools, validation of sensor calibration quality, and the subsequent deployment of the tools to millions of Toyota production vehicles. The development of sensor calibration tools encompasses the following: (1) Authoring comprehensive instruction documentation for the sensor calibration procedure, (2) Automating logs of essential sensor data onto removable storage devices, (3) Developing user-friendly interfaces for vehicle operators to execute sensor calibration algorithms on autonomous driving vehicles, (4) Automating uploads of sensor data to cloud storage, (5) Developing user friendly processes to run sensor calibration algorithms on the cloud, (6) Automating tracking of sensor calibration parameters for each autonomous driving vehicle, and (7) Maintaining the stability of the sensor calibration pipeline. Furthermore, candidates who exhibit a collaborative, "giver" mindset, consistently seeking opportunities to assist colleagues while maintaining a resolute focus on delivering production-ready solutions, are highly valued.
Support the design, implementation, and delivery of sensor calibration tools, proactively resolving deficiencies and ensuring that solutions meet objectives for reliability, quality, and business impact.
Write high-quality code to keep stable sensor calibration pipelines.
Collaborate with vehicle engineers and operators to ensure exceptional sensor calibration quality, which is critical for optimal vehicle deployment and the enhancement of autonomous driving performance.
Operate within a high-velocity environment and employ rigorous agile development practices.
Work within a hybrid workspace model, necessitating physical presence in our Ann Arbor (Michigan, US) office three days per week.
Bachelor’s (Master’s preferred) in a related field, or equivalent industry experience.
Proficiency in C++ and Python programming languages.
Understanding of autonomous driving sensors, such as Camera, LiDAR, Radar, and IMU.
Experience in developing testable and modular code to maintain a robust production environment.
The ability to thrive in a fast-paced environment and collaborate effectively across teams and disciplines, supported by excellent interpersonal skills.
A minimum of one year of industrial experience in computer vision or a related field, preferably in topics such as:
Sensor Calibration for IMU, LiDAR, Camera, or Radar
Structure-from-motion
SLAM or Localization
Sensor fusion
3D reconstruction or Multi-view geometry
Practical, hands-on experience in constructing a comprehensive sensor calibration stack for autonomous driving systems.
A proven track record of deploying Machine Learning (ML) models at scale within autonomous driving or related technological fields.