Intern – Equipment Maintenance Engineering Technician

Project Title

Electrical Circuit Analysis and Diagnostic Techniques in Manufacturing Equipment

Project Description

This internship project focuses on developing an understanding of electrical circuit board diagnostics within manufacturing equipment. The intern will explore circuit design concepts, component functionality, and diagnostic approaches through structured learning and guided exposure. The project provides opportunities to gain insight into how electrical systems are analyzed in a manufacturing environment, while building foundational knowledge in electronics, circuit behavior, and equipment maintenance practices.

Objective

To develop a structured understanding of circuit board diagnostics and electrical system behavior through guided observation and analysis.

Project Scope

• Gain understanding of electrical circuit board structure, components, and functionality
• Learn basic diagnostic approaches used in identifying circuit behavior and fault conditions
• Observe equipment and tools used for circuit analysis and testing through guided sessions
• Review documentation related to electronic components and procurement processes
• Document observations and learning outcomes related to circuit diagnostics and system behavior

Learning Opportunities

The intern will gain exposure to electrical engineering fundamentals, circuit analysis techniques, and structured problem solving in a manufacturing environment. The project also provides opportunities to understand how equipment teams evaluate and diagnose electrical systems.

Deliverables

• Documented observations on circuit board structures and diagnostic approaches
• Summary of learning related to component behavior and analysis methods
• Basic documentation outlining diagnostic workflow understanding
• Final presentation summarising key learning outcomes

Impact of Project

• Improved understanding of electrical system diagnostics in manufacturing equipment
• Enhanced visibility of circuit behavior and analysis approaches to inform engineering discussions

Skillsets Required

• Basic understanding of electrical or electronic concepts
• Interest in circuit boards and system behavior
• Ability to document and communicate observations clearly
• Willingness to learn and explore technical concepts

Courses of Interest

The ideal candidate should be currently pursuing Electrical Engineering, Electronic Engineering, Mechatronics, or related disciplines.

Duration Period

Minimum 5 months (Full-time semester internship from Sep to Feb 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 portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. 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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