Intern - Failure Analysis Technician (SSD)

Department

Solid State Drive Product Engineering Failure Analysis

Project Title

Failure Analysis and Data Review in Solid State Drive Technology

Project Description

This internship project focuses on developing an understanding of failure analysis methodologies within solid state drive technology. The intern will explore fault isolation concepts, data analysis approaches, and failure mechanisms through structured learning and guided exposure. The project provides opportunities to gain insight into storage systems, device behaviour, and analysis techniques used in diagnosing performance and reliability issues, while building foundational knowledge in engineering analysis and laboratory practices.

Objective of the Project

To develop a structured understanding of failure analysis processes and data interpretation methods for solid state drive technologies.

Project Scope

• Explore fault isolation concepts and data analysis approaches to understand potential failure mechanisms
• Gain exposure to storage technologies, including controller systems, memory components, and storage interfaces
• Learn the use of laboratory equipment such as optical microscopy and thermal imaging systems through guided sessions
• Analyse failure-related datasets to identify trends and patterns
• Document observations and learning outcomes related to failure behaviour and analysis techniques

Learning Opportunities

The intern will gain exposure to failure analysis methodologies, semiconductor device behaviour, and structured problem solving. The project also provides opportunities to understand how engineering teams investigate product reliability and performance issues.

Deliverables

• Documented observations on failure analysis techniques and findings
• Analysis of failure-related data trends and behaviour
• Summary of key insights from laboratory exposure and data review
• Final presentation outlining learning outcomes and observations

Impact of Project

• Improved understanding of failure mechanisms in solid state drive technologies
• Enhanced visibility of data patterns and analysis approaches to inform engineering discussions

Skillsets Required

• Basic data analysis and interpretation skills
• Structured problem-solving ability
• Clear documentation and communication skills
• Interest in hardware systems and failure analysis

Course of Interest

Electrical Engineering, Electronic Engineering, Computer Engineering, Materials Science, Physics, or related disciplines

Duration Period

Minimum 5 months (Full-time semester internship from September to February 2027)

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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