Job Details

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.

Vision Systems Engineer (AI Specialist)

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.

Key Responsibilities

• 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.
• 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 learning to verify the presence, orientation, 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.

Required Qualifications

• 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.

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 or Kuka arms).