Manufacturing Quality Intern (Summer 2026)
About The Position
GlobalFoundries (GF) is a semiconductor manufacturer that enables AI and provides differentiated, power-efficient, high-performance solutions for growing markets. Its internship program offers students meaningful work experience, mentorship, growth-focused assignments, professional development, and opportunities to network with executives. The Manufacturing Quality Engineering team provides engineering and technical support for quality and reliability issues in the fab by monitoring and auditing the quality of manufactured wafers and modules. The Manufacturing Quality Intern will lead a project to improve the efficiency of quality business processes and help ensure produced wafers meet required quality standards. The internship requires at least 40 hours per week.
Requirements
- Be at least a sophomore at the time of application and actively pursuing a Bachelor's or Master's degree through an accredited degree program during the internship in Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Chemical Engineering, Materials Science, Data Science, Computer Science, Information Systems, or a related technical field.
- Have an overall GPA of at least 3.0 and be in good academic standing.
- Be fluent in written and spoken English.
- Be able to work at least 40 hours per week during the internship.
Nice To Haves
- Prior related internship or co-op experience.
- Demonstrated leadership experience in the workplace, school projects, competitions, or similar settings.
- Strong interest in using AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
- Project management skills, including the ability to innovate, execute solutions that matter, and navigate ambiguity.
- Strong written and verbal communication skills.
- Strong planning and organizational skills.
- Experience or coursework in data analytics, process improvement, automation, dashboard development, or software/application development.
- Familiarity with Microsoft Power BI, Power Apps, Power Automate, Excel, Python, SQL, or similar data visualization and workflow-automation technologies.
Responsibilities
- Lead a defined process-improvement project focused on increasing the efficiency, effectiveness, or standardization of a manufacturing quality business process.
- Develop or enhance digital tools, dashboards, or automated workflows that give engineering and manufacturing teams clear visibility into quality actions, priorities, owners, and due dates.
- Collect and analyze quality process data to identify trends, gaps, recurring issues, and opportunities to improve performance or reduce risk.
- Partner with Manufacturing Quality, Process Engineering, Manufacturing, and other cross-functional teams to gather requirements, implement solutions, document improvements, and communicate project results and recommendations.
- Perform all activities safely and responsibly and support Environmental, Health, Safety & Security requirements and programs.
