Sr. Vision Applications Engineer

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences designed not just to be seen, but to be felt. From breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features, we’re turning today’s impossible into tomorrow’s standard.

Every day, our products move millions of people as we work to make driving safer, smarter, and more connected on a global scale.

The Role

The Vision Applications Engineer is responsible for developing, maintaining, and supporting global machine vision applications, scanning technologies, and standards. This role requires deep expertise in current vision systems, awareness of emerging imaging trends including AI, and hands-on ability to solve complex vision system challenges. The position also plays a key role in leading and maintaining global machine vision standards across manufacturing.

What You’ll Do

• Support vision applications across manufacturing centers and execution teams

• Review manufacturing system requirements and design robust vision applications

• Create and document scalable vision applications for error proofing, robot guidance, and part quality

• Partner with manufacturing engineering teams and regional execution teams to gather requirements and improve solutions

• Interface with vision equipment and integration suppliers

• Develop vision system hardware and software designs, including devices, power distribution, I/O networks, software, and cost estimating tools

• Ensure designs comply with GCCH, GCCS, and Global Robot Standards

• Supervise contractor detailed designs when needed

• Specify vision system components, functional requirements, and integration methods

• Evaluate and validate new vision technologies for manufacturing use

• Provide on-site and remote support for startup, troubleshooting, reprogramming, diagnostics, and plant vision issues

• Develop training and documentation for global deployment of standard vision systems

• Educate regional execution teams on standard vision applications

• Partner with execution teams and vision SMEs to strengthen GM’s competitive advantage in vision and imaging systems

• Investigate industry trends in vision AI and emerging technologies

• Ensure cyber security requirements are included in vision system components

• Develop vision applications to support virtual manufacturing

• Support R&D and IT teams in developing custom GM applications

• Work with suppliers to identify cost reduction opportunities

• Coordinate and support manufacturing lab initiatives, proof of concepts, and pilot deployments in labs and plant facilities

• Provide status updates to management

• Mentor students and new hires

• Drive systemic issues, lessons learned, and closure actions to completion

• Occasional travel is required within North America and globally to OEM and plant sites

Required Qualifications

• Bachelor’s degree in Engineering or a related field

• Extensive technical knowledge in machine vision

• Strong technical knowledge of robotics, AI, and automation processing

• Extensive experience with Zebra (Matrox), Keyence, Photoneo, or related vision technologies

• Experience developing and integrating vision applications

• Ability to troubleshoot complex vision-related issues

• Strong analytical, problem-solving, communication, and interpersonal skills

• Ability to manage multiple complex assignments with a high level of autonomy and accountability

• Ability to provide technical direction, mentoring, and project leadership

• Self-motivated with the ability to multitask and drive continuous improvement

• Demonstrated initiative and strong individual technical contributions

• Proven project management skills and ability to teach others

Preferred Qualifications

• AIA Certified Vision Professional (Basic or Advanced)

• Experience with additional vision technologies and suppliers

• 2–3 years of plant assignment experience

• 10+ years of experience in the design, build, and startup of manufacturing systems

• Knowledge of artificial intelligence and machine learning

• Experience with manufacturing and industrial automation including material-handling systems, AMRs, cobots, and virtual commissionin