Vision Systems Engineer in Olive Branch

Job Description

We are seeking a highly skilled Vision Systems Engineer to lead the integration and optimization of advanced automated inspection systems within our high-volume, high-mix heavy manufacturing facility.

In this role, you will be the subject matter expert for AI vision platforms
, leveraging both 2D and 3D imaging to solve complex inspection challenges. You will work in a fast-paced environment where precision is critical, ensuring every component—from massive structural parts to small identification decals—meets our rigorous quality standards.

• System Design & Integration: Architect, program, and deploy vision solutions utilizing AI-driven toolsets for complex defect detection.
• 2D & 3D Implementation: Configure 2D cameras for AI based analysis and 3D lasers for volumetric analysis and defect detection.
• Part
  
  Location:
  
  Develop robust "Search" and "Shape Trailing" logic to locate heavy components on high-volume lines.
• Decal & Placement Verification: Utilize AI learning to verify the presence, and correct application of decals and labels.
• Cosmetic Defect Detection: Train AI models to distinguish between acceptable surface variations and true cosmetic flaws (scratches, dents, or coating irregularities) on diverse materials.
• OCR/OCV: Implement high-reliability reading of metal-stamped or printed nameplates and VIN plates in challenging industrial lighting.
• Hardware Specification: Select appropriate lighting (backlights, ring lights, coaxial), lenses, and mounting bracketry to withstand heavy manufacturing environments.
• Continuous Improvement: Analyze inspection data to reduce "false rejects" and improve "overkill" rates using statistical analysis tools.

• Bachelors Degree: Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Engineering, or Software Engineering
• Technical Expertise: Minimum 3–5 years of hands-on experience with Vision Systems
• 3D Vision: Proven experience with 3D laser profilers or area sensors for Z-axis measurement and inspection.
• 2D Vision: Proven experience utilizing 2D cameras to train AI learning models to detect defects.
• Manufacturing Background: Experience in a heavy manufacturing or automotive environment; comfortable working around large-scale automation and robotics.
• Problem Solving: Deep understanding of industrial optics, including the physics of light and how to filter out ambient interference in a factory setting.
• Communication: Ability to collaborate with PLC Engineers (Allen-Bradley) to integrate vision data into the broader automation cell.

• Experience with Zebra, Keyence, Cognex, or Sick Vision System technology for quality inspection.
• Knowledge of robotic guidance (linking vision systems to Fanuc, ABB, Yaskawa or Kuka arms).