Software Engineer, Calibration

Woven•Ann Arbor, MI

2d•Hybrid

About The Position

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all. 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 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.