Intern – Equipment Maintenance Technician (Data and Cost Analysis)

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Project Title: Maintenance Cost Analysis and Data Review for Equipment Technician Functions Project Description: This internship project focuses on developing an understanding of maintenance cost and part utilisation within manufacturing equipment technician functions. The intern will explore maintenance-related datasets, component usage patterns, and cost considerations through structured data review and guided learning. The project provides exposure to how equipment maintenance technician teams evaluate part usage, interpret failure trends, and review improvement opportunities, while building foundational knowledge in semiconductor equipment systems, data analysis, and engineering concepts. Objective of the project: To develop a structured understanding of maintenance cost drivers, part usage patterns, and data analysis approaches within equipment technician environments. Project Scope: Review equipment maintenance datasets to understand part usage trends and patterns Analyse historical data to explore potential relationships between usage, failure trends, and cost factors Learn how maintenance workflows and part management are structured within manufacturing environments Observe approaches used by equipment technician and engineering teams to evaluate maintenance strategies Document observations and findings related to maintenance cost and improvement opportunities Learning Opportunities: Exposure to semiconductor manufacturing equipment and maintenance concepts Application of basic data analysis techniques to engineering datasets Understanding of maintenance workflows and part lifecycle considerations Development of structured problem solving and data interpretation skills Exposure to collaboration between equipment engineers and technician teams Deliverables: Documented analysis of maintenance part usage and data trends Summary of observations on cost factors and potential improvement areas Basic documentation outlining understanding of maintenance workflows Final presentation covering key findings and learning outcomes Impact of Project: Improved understanding of maintenance cost drivers and part utilisation patterns Enhanced visibility of data trends to inform engineering and maintenance discussions Skillsets Required: Basic knowledge of Microsoft Office applications such as Excel and PowerPoint Basic analytical and problem-solving skills Interest in data analysis and engineering applications Ability to document and communicate observations clearly Course of Interest: The ideal candidate should be currently pursuing in Mechatronics, Mechanical Engineering, Electrical Engineering, or other related engineering disciplines Duration Period: Minimum 5 months (Full-time semester internship from July to November 2026) About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. 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