Computer Vision & Physical Ai Integration Engineer

• The Computer Vision & AI Integration Engineer is responsible for identifying, evaluating, and deploying advanced vision, sensing, and AI-enabled solutions across Lear’s E-Systems manufacturing operations.
• This role focuses on improving quality, productivity, traceability, and operator effectiveness through technologies such as machine vision, intelligent inspection, edge AI, industrial sensors, robotics, and automated decision support systems.
• Working within the Digital and Automation organization, the engineer partners with manufacturing engineering, plant operations, and external technology providers to develop proof-of-concepts, validate business value, and scale successful solutions across Lear’s global manufacturing network
• Join a highly visible group shaping the future of manufacturing through computer vision, AI, and advanced automation, with regular engagement across engineering, operations, and executive leadership.
• Be part of a fast-growing innovation organization with the autonomy to identify opportunities, lead new technology deployments, and help define Lear’s global advanced manufacturing strategy

Responsibilities

• Identify high-value use cases for computer vision, intelligent inspection, AI-enabled automation, and advanced sensing technologies
• Define technical standards, best practices, and deployment documentation for vision and AI-enabled applications
• Collaborate with suppliers to implement vision systems for applications including defect detection, assembly verification, process monitoring, traceability, and quality control
• Evaluate and select cameras, lighting systems, sensors, AI platforms, robotics solutions, and system integration partners
• Lead proof-of-concept and pilot projects from requirements definition through technical validation and deployment
• Cooperate with automation, manufacturing engineering, IT, and digital teams to integrate solutions into existing equipment and production systems
• Support deployment and standardization of successful solutions across multiple manufacturing plants.
• Troubleshoot and optimize system performance in production environments
• Monitor emerging technologies in computer vision, industrial AI, robotics, and smart manufacturing to identify new opportunities for operational improvement
• Up to 25% travel

• Bachelor’s degree in Electrical Engineering, Mechatronics, Robotics, Computer Engineering, Industrial Engineering, Computer Science, or a related field, * 3+ years of experience in manufacturing automation, machine vision, robotics, industrial controls, or AI-enabled manufacturing solutions
• Experience evaluating and managing automation, vision, AI, robotics, or system integration vendors.
• Strong understanding of manufacturing automation technologies, including PLCs, HMIs, industrial networks, and production equipment integration.
• Demonstrated success leading technical pilots, prototypes, or implementation projects from concept through deployment.
• Ability to solve complex manufacturing challenges through structured problem-solving and technology application.
• Strong communication and collaboration skills across engineering, operations, IT, and external partners.

Bonus If You Have:

• Hands-on experience with computer vision, deep learning, AI-based inspection, or edge computing applications.
• Experience in wire harness manufacturing environments.
• Familiarity with MES, SCADA, industrial data platforms, and manufacturing system integration.

We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you.

A path to a better career. A better future.

Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we’re named one of the World’s Most Admired Companies.

They’re the secret to our success-empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.