Intern - MSB Test Engineering

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Location

Micron Singapore Bendemeer (990 Bendemeer Road)

Department

Test Engineering, Electrical Failure Analysis and Physical Failure Analysis

Project Title

AI-Driven Semiconductor Failure Analysis and Laboratory Digitalisation

Project Description

This internship provides an opportunity to gain hands-on exposure to semiconductor failure analysis methodologies, laboratory automation, and AI-Enabled engineering workflows. The project focuses on leveraging data analytics, digital tools, and Artificial Intelligence to enhance failure analysis efficiency, improve knowledge management, and accelerate engineering decision-making.

The intern will learn how Electrical Failure Analysis and Physical Failure Analysis techniques are used to identify the root causes of product and process issues across memory technologies in a high-volume manufacturing environment.

Objective of the Project

• Develop a digital or AI-Enabled solution that improves failure analysis workflow efficiency.
• Apply data analytics and visualization tools to enhance laboratory process visibility.
• Explore automation opportunities that improve engineering productivity and knowledge accessibility.
• Develop an understanding of how failure analysis contributes to product quality and manufacturing excellence.

Opportunities for Full Time Employment

High-performing interns who demonstrate strong technical capability, learning agility, and successful project outcomes may be considered for future internship or full-time employment opportunities within Micron’s engineering organization, subject to business needs and hiring requirements.

Project Scope

• Analyze laboratory operational metrics, turnaround-time trends, and relevant engineering datasets.
• Develop dashboards, automation tools, or knowledge-management solutions for selected failure analysis workflows.
• Explore Micron-qualified Artificial Intelligence, Generative AI, and AI Assistant tools for knowledge retrieval, reporting, and workflow efficiency.
• Collaborate with Test Engineering stakeholders to understand failure analysis requirements and validate proposed solutions.

Learning Opportunities

• Learn about semiconductor device structures, packaging technologies, and memory manufacturing processes.
• Gain exposure to Electrical Failure Analysis and Physical Failure Analysis techniques used in root-cause investigations.
• Apply data analytics and visualization tools to laboratory operational metrics and engineering datasets.
• Explore automation technologies using Python, Power Automate, Microsoft Copilot, or other Micron-qualified digital tools.
• Strengthen technical communication by presenting project findings and recommendations to engineering stakeholders.

Deliverables

• A digital or AI-Enabled solution that improves a selected failure analysis workflow.
• A dashboard, automation tool, or knowledge-management solution that enables faster data-driven decision-making.
• An assessment of improvements in productivity, process visibility, or engineering effectiveness.
• Final project documentation and presentation summarizing the methodology, findings, outcomes, and recommendations.

Impact of the Project

• Improve visibility and efficiency within selected failure analysis workflows.
• Enable faster access to relevant engineering data and technical knowledge.
• Enhance engineering decision-making through data analytics and AI-Enabled insights.
• Identify opportunities for continued laboratory digitalisation and automation.

Skillsets Required

• Basic programming knowledge in Python, Structured Query Language, or a similar language.
• Familiarity with data analytics, data visualization, automation tools, or workflow development.
• Interest in Artificial Intelligence, Machine Learning, Generative AI, and AI-Enabled engineering applications.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Familiarity with Microsoft Copilot and workflow platforms is advantageous.

Course of Interest

The ideal candidate should be pursuing a Bachelor’s Degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, Data Science, Artificial Intelligence, Mechanical Engineering, Materials Science, or a related field of study.

Duration of Period

The ideal candidate should be able to commit to a full time internship period of 5 months from Jan to Jun 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.

Fraud alert

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