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Machine Vision Engineer

Full-Time (Sterling Heights)

Bachelor's or Associate's degree in Computer Science, Electrical, Mechatronics Engineering, or related field
2+ years of experience in vision technology within automation
Familiarity with machine vision technologies (cameras, lenses, lighting, image processing)
Experience with industrial automation and robotics
Knowledge of manufacturing processes and quality control
Strong problem-solving and analytical skills
Proficient in programming and troubleshooting Fanuc Robots (Material Handling, Vision, Welding)
Effective team collaboration and communication skills
Preferred: 4+ years with Matrox/Cognex/Keyence Cameras, AIA or A3 Certification, experience in designing machine vision automation systems, familiarity with Allen Bradley Studio 5000 and Siemens TIA Portal, knowledge of industrial communication protocols, and experience with Altiz 3D scanners and bin picking systems using Fanuc/ABB/Kuka Robots.

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