University Intern - Process Engineer; Etch, Data Analytics

2H University Intern - Process Engineer (Etch, Data Analytics)

Global Foundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit

Internship Program Overview:

Our Interns are our talent pipeline for GF across the globe. Our goal is to provide students with meaningful work experience that will equip them with the skills to embark on a career in the fast‑paced and growing semiconductor industry after graduation. As an intern at GF, you will experience one‑on‑one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.

Project

Title:

Knowledge Learning System Development for Semiconductor Etch Process Team

Project Objective:

The Etch Process Team is focused on optimizing semiconductor etching processes to enhance production efficiency and product quality. As part of our continuous improvement efforts, we aim to develop a robust knowledge learning system that leverages data analytics to address existing issues and streamline operations. This project will support our data scientist in analyzing our issue database and generating actionable insights.

Project

Description:

Interns will gain hands‑on experience in a cutting‑edge semiconductor manufacturing environment. They will work closely with our data scientist and etch process engineers to support various aspects of the project. The job scope includes:

• Analyzing and interpreting complex datasets related to etch process issues
• Using advanced analytics tools and machine learning techniques to identify patterns and root causes
• Developing and evaluating predictive models to improve process stability and yield
• Collaboration with cross‑functional teams to refine requirements and provide data‑driven insights
• Assisting in the creation of a knowledge learning system to document and share best practices and solutions

Project Outcome:

Through this project, the intern will gain valuable experience in semiconductor manufacturing and data analytics. They will develop strong analytical and problem‑solving skills, enhance their programming abilities, and learn to work effectively in a dynamic team environment.

The company will benefit from improved process understanding and the development of a comprehensive knowledge learning system that can be used to train new employees and optimize operations.

Required Qualifications:

• Degree in Computer Science, Electrical Engineering, Electronics and Electrical Engineering (EEE), Information Technology, Data Science, or related disciplines
• Strong theoretical knowledge of data analytics and machine learning
• Proficiency in Python programming
• Skills in data manipulation and visualization
• Familiarity with semiconductor manufacturing processes is a plus

* This application is for students undertaking a 20‑24 week credit‑bearing internship from June 2026 onwards.

* Please indicate your internship period clearly in your CV/Resume/Cover Letter

#InternshipGFSG
2026

Global Foundries is an equal‑opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with Global Foundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

Information about our benefits you can find here: https://

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