Intern - RDA/Metrology Process Shift Engineer

About the Internship

As an Intern with the Yield Technology RAM group at Micron, you will support process engineering, Real-Time Defect Analysis (RDA), and Metrology activities in a semiconductor manufacturing environment. This internship is designed for a motivated student interested in learning how advanced memory products are developed, measured, analyzed, and improved. You will work alongside engineers and technicians to gain hands-on exposure to fab operations, equipment workflows, data analysis, recipe support, and cross-functional problem solving.

During this internship, you will gain exposure to semiconductor manufacturing, process development, defect analysis, metrology techniques, and data-driven problem solving. Intern assignments may include supporting recipe workflows, analyzing measurement or defect data, improving documentation, assisting with operational metrics, and contributing to a focused project that supports Yield Technology objectives. The ideal candidate is a curious, collaborative student who wants to learn and communicate ideas clearly, and will engage in significant technical work within a high-impact manufacturing environment.

Responsibilities

• Complete assigned internship onboarding, safety training, certifications, and learning events to build foundational knowledge of Micron systems, fab operations, RDA, and Metrology workflows.
• Support Fab 4 Process Development Engineering, Process Integration, RDA, and Metrology teams by assisting with data collection, basic analysis, tool support activities, and documentation.
• Review workflows, measurement setup, and basic equipment/process support under the guidance of tenured engineers and technicians.
• Provide supervised support for SEM, defect review, and incoming fab requests, including tracking request status, understanding queue priorities, and helping summarize results.
• Assist with analysis and support for Fab 4 Yield Engineering part types, including DRAM and emerging memory development activities, as assigned.
• Connect with engineers and team members regarding requests, priorities, observations, and follow-up actions in a clear and professional manner.
• Contribute to an internship project employing Artificial Intelligence to identify and implement improvements in RDA, Metrology, process improvement, data analysis, automation, or recipe workflow support; summarize key findings and present project outcomes to the team.

Minimum Qualifications

• Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Electrical Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, Chemistry, Physics, Data Science, or a related technical field. Cannot graduate prior to September 2027.
• Basic coursework or interest in semiconductor processing, manufacturing, materials characterization, metrology, defect analysis, or related technical areas.
• Ability to approach technical problems with curiosity, ask questions, collect relevant information, and help develop data-based recommendations using AI proficiency or AI-enabled ways of working where applicable.
• Proficiency with Microsoft Office tools such as PowerPoint, Word, Excel, and OneNote; interest in learning data analysis, automation, and AI-enabled productivity tools.
• Ability to work safely in a fast-paced manufacturing environment and follow all fab, cleanroom, quality, and safety requirements.

Preferred Qualifications

• Ability to prioritize tasks, manage time, and work both independently and as part of a team.
• Strong written, verbal, and presentation communication skills, with the ability to summarize technical information clearly.
• Experience, coursework, or project exposure related to semiconductor Metrology, RDA, SEM, data analysis, process control, statistics, Python, Claude, MATLAB, JMP, or Excel is preferred but not required.
• A growth mindset, attention to detail, willingness to learn from mentors, and passion for solving technical challenges.