<div><span>At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy &amp; Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics.</span></div><div><br /></div><div><span>We are seeking a versatile and hands-on engineer to join our Opportunity Discovery and Technology Adoption (ODTA) team as a Computer Vision Application Engineer. ODTA is dedicated to translating groundbreaking robotics research into real-world solutions that address customer needs and drive impact on the factory floor.</span></div><div><br /></div><div><span>As a Computer Vision Application Engineer, you’ll play a key role in bridging research and deployment. You will work directly with customers and internal team members to integrate advanced computer vision systems into real-world manufacturing environments. This includes on-site deployments, system calibration, and performance tuning, as well as building reusable tools and infrastructure to streamline future rollouts.</span></div><div><br /></div><div><span>This role combines fieldwork, software engineering, and system integration—ideal for someone who thrives at the intersection of applied research, technical execution, and customer success. This role is based at our headquarters in Los Altos, CA., and is expected to travel approximately twice a quarter to manufacturing sites across the U.S.</span></div><h3>Responsibilities</h3><ul><li>Evaluate and integrate computer vision algorithms into customer-specific robotics applications.</li><li>Develop tools and infrastructure for camera calibration, data pipelines, and system monitoring.</li><li>Define and install optimal camera and lighting configurations for early deployments.</li><li>Tune deployed systems for image quality (RGB and depth), accuracy, and performance.</li><li>Manage contractors to design and install hardware components (mounts, lighting, industrial PCs, etc.).</li><li>Contribute to internal ML model management tooling and deployment workflows.</li><li>Lead end-to-end software deployment process, including data handling and CI/CD practices.</li><li>Collect, analyze, and report performance metrics to ensure systems meet customer requirements.</li><li>Produce clear, detailed documentation to support future scaling and customer enablement.</li></ul><h3>Qualifications</h3><ul><li>Bachelors degree in software engineering, electrical engineering, robotics, or a related field.</li><li>5- 7+ years of industry experience in deploying computer vision or ML-based systems.</li><li>Proficiency in Python and C++; strong software engineering fundamentals.</li><li>Experience with camera calibration (intrinsics and extrinsics).</li><li>Hands-on experience with industrial CV libraries (e.g., OpenCV, MVTec, etc.).</li><li>Familiarity with Git-based CI/CD workflows and collaborative software development.</li><li>Experience with ML platforms (e.g., AWS, SageMaker, or similar).</li><li>Proven success adapting new technology to customer environments.</li></ul><h3>Bonus Qualifications</h3><ul><li>Strong background in 3D computer vision and machine learning.</li><li>Experience deploying vision systems in manufacturing or robotics settings.</li><li>Excellent communication and multi-functional collaboration skills.</li><li>Creative, analytical problem solver with a practical, solution-oriented mentality.</li><li>Passion for making advanced technologies usable, scalable, and impactful.</li></ul><div><i>The pay range for this position at commencement of employment is expected to be between $176,000 and $264,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</i></div><div><br /></div><div><span>Please reference this </span><a href="https://www.tri.global/ccpa-privacy-policy/"><span>Candidate Privacy Notice</span></a><span> to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.</span></div><div><br /></div><div><span>TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.</span></div><div><br /></div><div><span>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. </span></div>