Senior Software Engineer, Calibration

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. 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 an experienced Senior Software Engineer to support the development of online (dynamic) sensor calibration algorithms for our next-generation autonomous driving system. The selected candidate will be responsible for the design and implementation of online sensor calibration algorithms, validation of sensor calibration quality, optimization of runtime performance within limited computational resources, and the subsequent deployment of the algorithm to millions of Toyota production vehicles. We require an individual with specialized domain expertise in sensor calibration for autonomous driving systems, a comprehensive understanding of autonomous driving sensor hardware such as Camera, LiDAR, Radar, or IMU, and proven experience developing algorithms and tools for sensor calibration. 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. RESPONSIBILITIES

Lead the design, implementation, and delivery of next-generation online (dynamic) sensor calibration algorithms, proactively resolving deficiencies and ensuring that solutions meet objectives for reliability, quality, and business impact.

Establish validation pipelines to guarantee that the developed online sensor calibration algorithm adheres to the required calibration accuracy specified by Toyota products.

Optimize sensor calibration algorithms with respect to runtime, accuracy, and robustness, specifically considering constraints imposed by limited computational resources.

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.

MINIMUM QUALIFICATIONS

A minimum of three years of industrial experience in computer vision or a related field, with demonstrated expertise in topics such as: Sensor Calibration for IMU, LiDAR, Camera, or RadarStructure-from-motionSLAM or LocalizationSensor fusion3D reconstruction or Multi-view geometry

Proficiency in C++ and Python programming languages.

Practical, hands-on experience in constructing a comprehensive sensor calibration stack for autonomous driving systems.

Profound understanding of autonomous driving sensors, including 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

Experience in runtime optimization specifically for Linux and UNIX-like real-time operating systems.

Experience with embedded CUDA development and associated tooling.

A proven track record of deploying Machine Learning (ML) models at scale within autonomous driving or related technological fields.