Computer Vision & Physical AI Integration Engineer
On-siteSouthfield, Michigan, United States
Job Summary
Identify high-value use cases for computer vision, intelligent inspection, and AI-enabled automation across Lear's E-Systems manufacturing operations. Define technical standards and collaborate with suppliers to implement vision systems for defect detection, assembly verification, and quality control. Lead proof-of-concept and pilot projects from requirements definition through deployment, while evaluating cameras, lighting, sensors, and robotics solutions. Cooperate with automation, manufacturing engineering, and IT teams to integrate these solutions into existing production systems and support their standardization across global plants. Monitor emerging technologies to identify new opportunities for operational improvement. Up to 25% travel required. Bachelor's degree in engineering or related field with 3+ years in manufacturing automation and machine vision.
Required Qualifications
- 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
- Up to 25% travel
Desired Qualifications
- 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
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