Vision Engineer

General Motors

Stamping Vision Engineer optimizing machine vision systems for manufacturing operations at GM. Responsible for design, implementation, and quality control of stamping systems.

Posted 4/30/2026full-timeWarren • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and implement machine vision solutions for quality inspection, defect detection, robot guidance, automated part racking, and process monitoring.
Specify, procure, validate, and upgrade vision system components such as cameras, lenses, lighting, and software while incorporating your experiences with external lights, lighting, filters, and lenses.
Collaborate with cross-functional teams and work with controls engineering and IT partners to establish requirements for associated vision systems while analyzing vision system performance to identify areas for improvement in accuracy, reliability, and speed.
Lead efforts in root cause analysis and corrective actions related to vision system findings.
Utilize vision system data to diagnose issues, identify trends, and improve manufacturing processes.
Troubleshoot and resolve technical issues related to vision systems and equipment.
Support training of production staff on the operation and maintenance of vision systems.
Maintain comprehensive documentation for vision system design, development, and implementation.
Work with engineering functions, suppliers, plant personnel and others to implement cost reduction, methods, and manufacturing improvements.

Requirements

What you’ll need

Bachelor of Science in Engineering (Mechanical, Electrical and/or Computer, Manufacturing Systems Engineering, or Computer Science) or equivalent experience will be considered.
Master of Science degree is preferred.
3+ years of experience in developing and maintaining vision systems in a manufacturing, preferably in product quality inspection systems.
Ability to travel up to 50% of the time domestically and internationally.
High level of integrity, ability to deal with ambiguity, take initiative/self-directed.
Experience in coordinating design & construction activities – preferably in automotive manufacturing facilities.
Experience with project management methodologies to manage budget constraints, varying production schedules and OEM counterparts.
Understanding of Microsoft software including MS Project.
Ability to use CAD systems (ie. AutoCAD, Unigraphics, SOLIDWORKS, Teamcenter, Teamcenter Visualization, etc.).
5+ years of experience in developing and maintaining vision systems in a manufacturing, preferably in product quality inspection systems.
Demonstrated experience developing vision system platforms (e.g., Matrox, Cognex, Keyence, PhotoNEO, Fanuc 2D/3D) and programming languages (e.g., Python, C++, OpenCV).
Strong understanding of image processing algorithms, optics, and lighting principles.
Hands-on experience with industrial automation systems (e.g., PLCs, robotics).
Familiarity with advanced defect detection techniques, AI-based vision systems, and SPC methodologies.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

Benefits

Comp & perks

This job may be eligible for relocation benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine vision solutionsdefect detectionrobot guidanceautomated part rackingprocess monitoringimage processing algorithmsopticslighting principlesprogramming languagesindustrial automation systems

Soft Skills

high level of integrityability to deal with ambiguityinitiativeself-directedcollaborationtroubleshootingroot cause analysistrainingdocumentationproject management

Certifications

Bachelor of Science in EngineeringMaster of Science degree