Sr Mgr Manufacturing Engineering

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