Computer Vision Application Engineer

Position Overview

At Toyota Research Institute (TRI), we are dedicated to improving the quality of human life by developing new tools and capabilities to amplify the human experience. 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. The ODTA team specializes in translating groundbreaking robotics research into real-world solutions that address customer needs and drive impact on the factory floor.

As a Computer Vision Application Engineer, you will be instrumental in bridging the gap between research and deployment. You will collaborate directly with customers and internal teams to integrate advanced computer vision systems into real-world manufacturing environments. This involves on-site deployments, system calibration, performance tuning, and the development of reusable tools and infrastructure to streamline future rollouts. This role offers a unique blend of fieldwork, software engineering, and system integration, making it ideal for individuals who thrive at the intersection of applied research, technical execution, and customer success.

Employment Type

Full-time

Location

Los Altos, CA (with travel to manufacturing sites across the U.S. approximately twice per quarter)

Responsibilities

• Evaluate and integrate computer vision algorithms into customer-specific robotics applications.
• Develop tools and infrastructure for camera calibration, data pipelines, and system monitoring.
• Define and install optimal camera and lighting configurations for early deployments.
• Tune deployed systems for image quality (RGB and depth), accuracy, and performance.
• Manage contractors to design and install hardware components (mounts, lighting, industrial PCs, etc.).
• Contribute to internal ML model management tooling and deployment workflows.
• Lead end-to-end software deployment processes, including data handling and CI/CD practices.
• Collect, analyze, and report performance metrics to ensure systems meet customer requirements.
• Produce clear, detailed documentation to support future scaling and customer enablement.

Requirements

• Bachelor's degree in software engineering, electrical engineering, robotics, or a related field.
• 6-10+ years of industry experience in deploying computer vision or ML-based systems.
• Proficiency in Python and C++; strong software engineering fundamentals.
• Experience with camera calibration (intrinsics and extrinsics).
• Hands-on experience with industrial CV libraries (e.g., OpenCV, MVTec, etc.).
• Familiarity with Git-based CI/CD workflows and collaborative software development.
• Experience with ML platforms (e.g., AWS, SageMaker, or similar).
• Proven success adapting new technology to customer environments.

Bonus Qualifications

• Strong background in 3D computer vision and machine learning.
• Experience deploying vision systems in manufacturing or robotics settings.
• Excellent communication and multi-functional collaboration skills.
• Creative, analytical problem solver with a practical, solution-oriented mentality.
• Passion for making advanced technologies usable, scalable, and impactful.

Salary and Benefits

• Salary Range: $180,000 - $275,000 per year (for California-based roles, actual pay may vary based on location, knowledge, skills, and experience).
• Benefits Package: Generous benefits package including 401(k) eligibility, paid time off (vacation, sick time, parental leave), and an annual cash bonus structure.

Application Instructions

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