Job Overview

The Visual Inspection Automation Engineer will design, implement, and maintain automated visual inspection solutions for medical products across manufacturing and inspection processes. This role focuses on detecting cosmetic, dimensional, and functional defects using advanced machine vision and AI-based inspection technologies to ensure consistent product quality. The engineer will work closely with quality, manufacturing, and NPD teams to integrate inspection systems into production lines, support validation activities, and ensure compliance with medical device quality standards and regulatory requirements

Job Requirements

• Design and develop automated visual inspection systems for defect detection, dimensional inspection, and cosmetic evaluation.
• Select and integrate cameras, lenses, lighting, and vision controllers based on inspection requirements.
• Develop, test, and optimize vision algorithms using rule-based and/or AI-based approaches.
• Conduct feasibility studies, proof-of-concepts (POCs), and pilot implementations.
• Work closely with Manufacturing, Quality, Process Engineering, and NPD teams
• Support new product introductions (NPI) by defining inspection strategies and requirements
• Collaborate with equipment vendors and system integrators
• Troubleshoot and resolve vision system issues related to hardware, software, and process variation
• Support commissioning, validation, and handover of inspection systems to production
• Maintain a strong focus on health and safety issues related to new process development.
• Design, develop, and qualify equipments to meet TE quality and production standards.
• Ensure compliance with all specifications, regulatory standards, and customer requirements.
• Perform additional duties as assigned.

What your background should look like

• Bachelor’s degree with 8+ years of experience, or Master’s degree with 6+ years of experience, in automated visual inspection or machine vision roles (level dependent)
• Experience in Integrating visual inspection systems with PLCs, robots, and automated manufacturing equipment.
• Designing & implementing novel solutions for complex automated systems(visual) in Med device or similar industries.
• Experience in regulated or high-volume manufacturing environments is a plus
• Experience with machine vision platforms (e.g., Cognex, Keyence, Omron, OpenCV).
• Strong understanding of cameras, optics, and industrial lighting techniques.
• Programming skills in Python, C++, C#, or similar languages.
• Experience integrating vision systems with PLCs and industrial networks.
• Knowledge of manufacturing processes and quality inspection principles

Competencies