Intern- PIE PI (Product Integration Engineering, Process Integration)

Other

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Location

1 North Coast Drive, Singapore

Department

Product Integration Engineering (PIE), Process Integration (PI)

Project Title

NAND Advanced CMOS Metal‑Short Reliability Study and Process Improvement Exploration

Project Description

This internship provides a structured learning opportunity within the Process Integration team, focusing on advanced NAND CMOS metallisation concepts and reliability study methodologies. The intern will be introduced to reliability failure mechanisms and evaluation approaches, with exposure to data analytics and AI/ML platforms used to study failure trends and enhance reliability understanding.
Under guidance from the team, the intern will participate in learning activities involving Micron‑customised analytics tools and dashboards, and observe how cross‑functional teams apply data insights to explore and propose potential process improvement ideas.
The intern will have exposure to AI-related initiatives, including the use of automation and analytics tools to improve existing processes and support business outcomes.

Objective of the Project

The objective of this project is to provide the intern with structured exposure to advanced NAND CMOS metallisation concepts and reliability study methodologies. The project aims to enhance the intern’s understanding of how data analytics and AI/ML platforms are used to study failure trends and support reliability learning in semiconductor manufacturing.

Opportunities to be Offered for Full-Time Employment

Students who demonstrate strong technical learning capability, analytical thinking, and professional growth during the internship may be considered for future full-time opportunities, subject to business needs and individual performance.

Project Scope

During the internship, the intern will be exposed to:

Fundamentals of CMOS metallisation processes and process interactions
Overview of process evaluation changes and their impact on wafer characteristics
Introduction to Failure Analysis characterisation concepts and fail‑model development approaches
Familiarisation with Micron in‑house SMAI analytics tools and dashboards

Learning Opportunities

Through this project, the student will have opportunities to:

Gain exposure to advanced NAND CMOS metallisation concepts and their relationship to device reliability
Learn how data analytics and AI/ML platforms are used to study failure trends and support reliability learning
Observe cross‑functional collaboration within Process Integration and related engineering teams

Deliverables

Learning documentation summarising reliability fail mechanisms studied
Preliminary fail‑model observations or insights based on guided analysis
Conceptual improvement ideas or observations for discussion with the project team

Impact of Project

The project will support learning and development in semiconductor reliability engineering while contributing additional technical insights that may aid the team’s continuous improvement and reliability knowledge base.
The candidate will have opportunities to work on AI-enabled and automation-related initiatives that support operational excellence and process improvement.

Skillsets Required

Basic understanding of semiconductor fabrication processes (preferred)
Interest in data analysis, reliability studies, or process learning
Willingness to learn and collaborate in a team environment

Course of Interest

Engineering and Science (all relevant disciplines)

Duration Period

Minimum 5 months on a full-time basis (Preferred period: Jan to May 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.

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