Vision Inspection Engineering Project Manager

Company Overview:

Howard Industries, Inc. is the nation's leading manufacturer of distribution transformers, with over 10 million overhead, single-phase and three-phase pad mounted, and network transformers in service throughout the United States and abroad. As Mississippi's largest privately held employer headquartered within the state, the company employs over 5,000 team members, generates over $1 billion in revenue, and consists of three main corporate divisions: Howard Power Solutions, Howard Transportation, and Howard Technology Solutions.

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.

Vision Inspection Engineering Project Manager

We are seeking a highly skilled Project Manager 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 vision platforms , leveraging both 2D and 3D imaging to solve complex industrial 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. Responsibilities also include the automation of the Vision System using robotics applications.

Key Responsibilities

• System Design & Integration: Architect, program, and deploy vision solutions utilizing AI-driven or rules-based toolsets for complex defect detection.
• 2D & 3D Implementation: Configure 2D cameras for AI / rules based analysis and 3D lasers for volumetric analysis and defect detection.
• Automated Inspection Tasks:
• Part Location: Develop robust "Search" and "Shape Trailing" logic to locate heavy components on high-volume lines.
• Decal & Placement Verification: Utilize AI / rules based learning to verify the presence, orientation, and correct application of decals and labels.
• Cosmetic Defect Detection: Train AI / rules based 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, robotics, 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.

Required Qualifications

• Technical Expertise: Minimum 5 years of hands-on experience with Vision Systems
• Management Expertise: Minimum 2 years of project management experience on Vision Inspection or Automation Projects. Be capable of managing a team of vision systems technicians and engineers.
• 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 / rules based tools 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. Understanding of defect detection and the importance of statistical tools. Capable of meeting necessary cycle times without compromising the scope of the inspection requirements.
• Communication: Ability to collaborate with PLC Engineers(Allen-Bradley), IT, Electricians, Maintenance, Robotics Technicians, Quality, and Vendors to develop the broader automation cell.

Education Requirements

• Minimum Requirement: Bachelor of Science in Mechanical, Electrical, Industrial, Computer, or Software Engineering

Preferred Skills

• Experience with Zebra, Keyence, Cognex, or Sick Vision System technology for quality inspection.
• Knowledge of robotic guidance (linking vision systems to Fanuc, ABB, Yaskawa, Universal Robotics or Kuka arms). xhyhwjd
• Practiced in managing the automatic inspection of custom products in an industrial production setting.