Woven by Toyota is enabling Toyota's transformation into a mobility company by developing safe, efficient, and intuitive self-driving systems. The Calibration team's work on computer vision and machine learning algorithms for camera-to-lidar and camera-to-camera calibration, visual odometry, and visual localization is crucial for unblocking the development of these systems.
Requirements
- 3+ years of industrial experience in computer vision or related field with demonstrated experience in topics such as: IMU and/or Lidar and/or Camera Sensor Calibration, Structure-from-motion, SLAM, Localisation, Sensor fusion, 3D reconstruction, Multi-view geometry
- Experience with Python / C++
- Experience writing testable and modular code to maintain a production environment
- Background in Robotics
- Experience working with camera/lidar/INS hardware and manufacturers' toolkits, verifying sensor operation
- Experience in cloud applications, specialising in scalable deployment of CV/ML algorithms (e.g. data pipelines, batch processing, workflow orchestration).
- Proficiency in developing embedded and low-level software using C/C++
Responsibilities
- Build pipelines and leverage data derived from one of the largest vehicle networks in the world to accelerate autonomous driving technology
- Work on distributed computer vision and machine learning systems to deploy algorithms at an unprecedented scale
- Collaborate with vehicle engineers and operators to ensure exceptional calibration quality for optimal vehicle deployment, enhancing autonomous driving performance
- Contribute to innovative calibration techniques, working alongside a diverse team of Computer Vision and Machine Learning engineers
Other
- Be a team player; uplift others through mentoring and inclusion efforts
- Ability to work in a fast-paced environment and collaborate across teams and disciplines with great interpersonal skills
- Excellent health, wellness, dental and vision coverage
- A rewarding 401k program
- Flexible vacation policy
