Woven by Toyotais 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.
About the Organization
The Calibration team applies cutting-edge computer vision and machine learning algorithms to solve challenges such as: camera-to-lidar and camera-to-camera calibration, visual odometry, and visual localisation. Unblocking these provides Woven by Toyota with a unique opportunity to develop safe, efficient, and intuitive self-driving systems.
About the OrganizationThe Calibration team applies cutting-edge computer vision and machine learning algorithms to solve challenges such as: camera-to-lidar and camera-to-camera calibration, visual odometry, and visual localisation. Unblocking these provides Woven by Toyota with a unique opportunity to develop safe, efficient, and intuitive self-driving systems.
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
Be a team player; uplift others through mentoring and inclusion efforts
Minimum Qualifications:
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
Ability to work in a fast-paced environment and collaborate across teams and disciplines with great interpersonal skills
Preferred Qualifications
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++
For positions based in Palo Alto, CA, the base pay for this position ranges from $140,000- $230,000 a year.
Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
・Excellent health, wellness, dental and vision coverage
・A rewarding 401k program
・Flexible vacation policy
・Family planning and care benefits
Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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