Vision System Engineer

Roles & responsibilities:

System Development & Integration

• Specify and select vision hardware/software for automated inspection systems.
• Lead installation, setup, and tuning of vision systems on molding and assembly equipment.
• Collaborate with machine builders, automation engineers, and suppliers for seamless integration.

Pixel-Level Engineering & Defect Coding

• Conduct pixel-level image analysis to define inspection parameters and thresholds.
• Establish and maintain defect code libraries, categorizing part-level and assembly-level failure modes (e.g., flash, short shot, burn marks, contamination, dimensional variance, missing components, misalignment).
• Translate defect definitions into vision system logic, ensuring consistent classification across production lines.
• Continuously refine defect codes and detection algorithms to reduce false positives/negatives.

Assembly-Level Vision Configuration

• Configure and validate vision systems for multi-part assemblies, ensuring correct orientation, fit, and completeness.
• Develop inspection routines for assembly-specific defects such as missing parts, improper bonding, or misalignment.
• Integrate assembly-level inspection with upstream and downstream quality control processes.

Programming & Optimization

• Develop and optimize vision programs (Cognex, Keyence advantageous) for accuracy, yield, and performance.
• Balance sensitivity and throughput to achieve highest possible yield with zero escapees.
• Troubleshoot and resolve vision-related issues in production environments.

Validation & Compliance

• Own the equipment and process validation lifecycle (URs, risk assessments, IQ/OQ/PQ, TMV, periodic review).
• Lead process validation, cleaning validation, and hold-time studies for vision system integrations.
• Ensure compliance with GxP/GMP principles and regulatory requirements.

Defect Analysis & Training

• Analyze defect trends, classify failure modes, and refine detection logic.
• Train operators and inspectors on vision system alarms, defect handling, and best practices.

Continuous Improvement

• Monitor system KPIs and drive corrective actions to reduce false positives/negatives.
• Stay current with emerging vision technologies and recommend upgrades.

EDUCATION

• Degree in Engineering or related discipline.