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 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 .

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