Process Development Automation Engineer - AOI

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview AOI responsible for developing, implementing, and optimizing automated optical inspection systems, ensuring robust image processing, lighting configuration, and integration with production lines. Responsibilities Design and configure AOI hardware systems including cameras, sensors, lighting, and optics. Develop and optimize image processing algorithms for defect detection, OCR/OCV, and dimensional measurements. Program and maintain Keyence and Cognex vision systems, including AI-based tools. Integrate AOI systems with PLCs and MES for real-time data exchange. Perform troubleshooting, preventive maintenance, and remote support for AOI systems. Lead training programs for operators, technicians, and engineers on AOI systems. What your background should look like Preferred Skills and Abilities Expertise in high-resolution cameras and advanced lighting techniques. Proficiency in Keyence VS/IV series and Cognex In-Sight/VisionPro systems. Knowledge of AI/ML for vision applications and dataset management. Programming skills in Python (OpenCV, TensorFlow), C#, and SQL. Strong troubleshooting and problem-solving capabilities. Ability to create documentation and standard operating procedures. Experience in project management and cross-functional collaboration. Long Description Requirements: - Bachelor’s degree in Engineering (Electrical, Mechanical, Mechatronics, or related field). - Advanced knowledge in Automated Optical Inspection (AOI) systems, including hardware, software, and AI/ML integration. 3 years of hands-on experience in AOI systems design, implementation, and optimization. - Proven expertise in Keyence and Cognex vision systems, including programming and troubleshooting. - Strong background in industrial automation and PLC integration. - Experience in managing complex projects and leading cross-functional teams. Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork