College Intern - Process and Digitalization

• Design and develop practical solutions for high-volume manufacturing using AI, Industrial Internet of Things (IIoT), smart vision systems, robotics, and other automation technologies.
• Gain hands-on exposure to high-speed, high-precision equipment, including die attach machines, wire bonders, chip attach systems, precision over-mould tooling, and other advanced semiconductor packaging equipment.
• Apply mechanical, mechatronic, and automation engineering principles to improve equipment performance, process capability, quality, and productivity.
• Contribute to real engineering projects spanning production improvement, sustainability, and New Product Introduction (NPI).
• Work alongside engineering and operations professionals to create smart factory solutions that strengthen manufacturing quality and future-readiness.
• Use structured problem-solving, experimentation, data analysis, and engineering studies to develop and validate improved manufacturing processes.

• A Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, Automation, Manufacturing Engineering, or a related discipline.
• Can commit to a 5-6 months full-time internship beginning in January 2027.
• Enjoy turning engineering ideas into working solutions and are eager to learn in a hands-on manufacturing environment.
• Communicate clearly, collaborate effectively, and are comfortable taking ownership of individual assignments.
• Bring practical, creative thinking to modernise manufacturing operations through smart technology.
• Have knowledge or project experience in one or more of the following: automation, robotics, machine vision, AI, machine learning, IIoT, data analytics, digitalisation, or software programming.
• Experience with Power BI, Power Automate, Robotic Process Automation, or similar digital tools is an advantage—but curiosity and a willingness to learn matter just as much.

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