Intern – NAND Intrinsic Reliability & Data Analytics

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Project Title: Development of an AI-Driven Reliability Analytics and Automation Framework for NAND Product Engineering

Description

This project aims to use an already developed intelligent analytics and automation framework to enhance efficiency, decision-making, and productivity within NAND Reliability Engineering. The intern will leverage data analytics, artificial intelligence (AI), and software automation techniques to process large volumes of reliability and qualification data, identify trends, and generate actionable engineering insights.

Key responsibilities include:

• Analyzing NAND reliability and qualification datasets to identify patterns and improvement opportunities.
• Presenting technical findings and recommendations to engineering teams.

Scope of Work

- Execution of MAF/ULR wave tests

- Log collection and analyzing

- Level-1 Failure Analysis

Supporting team

• NAND Intrinsic Reliability (NIR) Team (Primary)
• Global Quality & Reliability Engineering (QRE) Team
• Test Program Development Team

Deliverables

Technical Documentation

• User guide, architecture overview, and maintenance documentation.
• Source code repository with appropriate documentation.

Final Presentation

• Presentation summarizing project objectives, methodology, results, lessons learned, and future enhancement opportunities.
• Demonstration of developed tools and quantified productivity improvements.

Stretch goal

• Develop a GenAI-powered Reliability Engineering Assistant capable of automating data analysis, failure pattern identification, engineering knowledge retrieval, and executive reporting to accelerate decision-making within the NAND Reliability organization.

Requirement

• Electrical & Electronics, Computer Engineering

• Strong Electronics and Semiconductor knowledge, device physics concepts
• Basic programming knowledge (Python preferred).
• Strong analytical and problem-solving skills.
• Interest in data analytics, automation, AI, or machine learning.
• Familiarity with Microsoft Excel, Power BI, or data visualization tools is an advantage.
• Effective communication and teamwork skills.
• Self-motivated and eager to learn in a fast-paced engineering environment.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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 [email protected]

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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