Manufacturing Quality Intern (Summer 2026)

Our Foundry Manufacturing Quality Engineering (MQE) team provides leadership in engineering and technical support for quality and reliability issues within our fab by monitoring and auditing the quality of manufactured wafers and modules. As an intern on the Manufacturing Quality team, you will lead projects that improve the efficiency of quality business processes while helping ensure the wafers we produce meet required quality standards.

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 provide engineering and manufacturing teams with clear visibility into quality actions, priorities, owners, and due dates; Collect and analyze quality process data to identify trends, gaps, recurring issues, and opportunities for improved performance or risk reduction; 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 in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs

Requirements

At least a sophomore at time of application and actively pursuing a Bachelor's or Master's degree in Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Chemical Engineering, Materials Science, Data Science, Computer Science, Information Systems, or a related technical field through an accredited degree program during the internship; Overall GPA of at least 3.0 and good academic standing; English fluency (written and verbal); Ability to work at least 40 hours per week during the internship

Nice to have

Prior related internship or co-op experience; Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.; Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making; Project management skills, including the ability to innovate and execute on solutions 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

Benefits

One-on-one mentorship; Work assignments that prioritize growth and potential; Professional development opportunities; Chance to network with executives