Industrial Engineering Intern (Summer 2027)

GlobalFoundries•Essex, VT
•$20 - $40

About The Position

The Fab 9 Industrial Engineering Intern will support factory performance, capacity planning, and process-improvement projects in a high-volume semiconductor manufacturing environment. The intern will use manufacturing data, analytical tools, and collaboration across teams to turn operational challenges into insights, scalable solutions, and actionable recommendations. The internship is part of GlobalFoundries’ student talent pipeline and offers one-on-one mentorship, growth-focused work assignments, professional development opportunities, and opportunities to network with executives.

Requirements

  • Be at least a sophomore at the time of application and actively pursuing a bachelor's degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Data Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field through an accredited degree program during the internship.
  • Have an overall GPA of at least 3.0 and be in good academic standing.
  • Be fluent in English, written and verbal.
  • 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 improve productivity, streamline workflows, and support effective decision-making.
  • Project management skills, including the ability to innovate, execute solutions, and navigate ambiguity.
  • Strong written and verbal communication skills.
  • Strong planning and organizational skills.
  • Experience with data analysis, visualization, or automation using Excel, Power BI, Python, SQL, or similar tools.
  • Coursework or project experience in statistics, operations research, capacity modeling, simulation, manufacturing systems, or process improvement.

Responsibilities

  • Analyze factory, tool, chamber, and workflow data to identify capacity constraints, utilization opportunities, cycle-time drivers, and operational improvement areas.
  • Develop and maintain data-analysis tools, models, dashboards, or automated reports using applications such as Excel, Power BI, Python, or approved AI-enabled tools.
  • Support capacity planning and scenario analysis by validating inputs, documenting assumptions, evaluating sensitivities, and summarizing risks and recommendations for engineering and operations partners.
  • Collaborate with Industrial Engineering, Process Engineering, Equipment Engineering, Manufacturing, and other stakeholders to define problems, validate results, and present project findings and next-step recommendations.
  • Perform activities safely and responsibly and support Environmental, Health, Safety & Security requirements and programs.
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