Internship - AI-driven Solution for Product Engineering Work Packages

The student, as part of the PTE PDE team and under the guidance of an assigned mentor, will undertake AI-driven projects working on various work packages to streamline operations, enhance productivity and improve process efficiency.

Your Role

Key responsibilities in your new role

• Operations & Automation Support: Assist unit process engineers in daily Final Test operations and automated manufacturing projects.

• Risk & Incident Management: Support deviation management, crisis resolution, risk assessments, and mitigation planning.

• Change Management: Assist in coordinating and executing engineering change management projects.

• Quality & Process Documentation: Develop and update critical engineering documentation, including Process Flows, FMEA, SOPs, OCAPs, and Control Plans.

Internship Learning Outcomes:

• Backend Test Operations: Gain deep insights into the daily operational workflows within a Semiconductor Backend Test facility.

• Statistical Quality Control: Understand the application of Statistical Process Control (SPC) and structured deviation management in manufacturing.

• Production Data Analytics: Learn how to analyze large production datasets and represent engineering data statistically to drive decision-making.

• Advanced Manufacturing Automation: Acquire hands-on exposure to deploying automation solutions within an industry-leading smart factory.

Your Profile

Qualifications and skills to help you succeed

• Educational Foundation: On track to attain a Bachelor's degree in Automation, Electrical & Electronic Engineering, Mechanical Engineering, or a related technical discipline.

• Analytical & Problem-Solving Skills: A self-driven individual possessing strong analytical capabilities and a structured approach to solving complex problems.

• Collaboration & Coordination: Highly interpersonal, with a passion for working with cross-functional teams and coordinating project tasks.

• Technical Tools Advantage: Prior exposure to Tableau, UiPath, or Python is a strong plus.

• Preferred intake: Jan 27 - May/ June 27

Contact:

Hillary Woo

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