Sr. Vision Applications Engineer
General Motors Proving Ground
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 commissioning
Understanding of plant floor operations and product design manufacturability
Global project experience across regions
Programming knowledge in C++ and Python
Experience with ROS/ROS2
Familiarity with NVIDIA Isaac , Omniverse , or similar 3D/manufacturing simulation environments
Familiarity with Teamcenter , Siemens Technomatix Process Simulate , or similar tools
Ongoing development of technical expertise
Recognition for outstanding contributions
Why Join GM
This is an opportunity to help shape the future of manufacturing automation at General Motors by advancing global vision standards, supporting plant execution, and developing next-generation machine vision solutions.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
Accommodations
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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
Our Company (
Our Culture
How we hire (
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
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We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
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The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at View email address on click.appcast.io .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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