2H University Intern - Digital Manufacturing (AI & ML)

About GlobalFoundries 

GlobalFoundries (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 www.gf.com. 

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:

Alarm IQ - ML deployment for troubleshooting effective of alarms or Advanced Process Control (APC)
 

Project Objective:

The Digital Manufacturing team oversees the deployment of consistent and efficient digital infrastructure and data quality to realize digital transformation across the GlobalFoundries Fabs worldwide. As we aspire to increase productivity and agility, AI/ML is becoming an increasingly important tool to derive insights for thousands of tools in the Fab.  Digital and analytics lends tremendous potential to optimize cost, increase output and productivity by implementing ML models for troubleshooting effective of alarms or Advanced Process Control (APC).

Project Description:

Alarm IQ aims to leverage on ML models to identify signatures in FDC data to categorize, perform root cause analysis and propose actions to technicians/engineer to either completely eliminate the alarm from occurring, or the most effective action to address the alarm 

Project Outcome:

Through internship in Digital Manufacturing, interns gain hands-on experience in dealing with complex datasets, interpreting data with semicon domain knowledge and rolling out solutions that create impact to the organization. Some of the job scope may include:

Preferred Qualifications:

- Data Science

*This application is for students undertaking a 20–24-week credit-bearing internship from July 2026 onwards.

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

Required Qualifications:

• Degree in Computer Science/Electrical Engineering / Electronics and Electrical Engineering (EEE)/Information Technology/Data Science and Artificial • Intelligence or any related discipline.
• Skills in Python programming
• Skills in Data Manipulation