Intern, NVE PE - NAND Validation and Characterization(AI/ML project)

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Summary: Applying data analytics and AI tools on big data analysis for Power characterization reports/dashboard ​

Department: Storage Technology and Product Group Product Engineering​

Project Title: Google cloud platform-based power dashboard development​

Project Description: Data analysis and machine learning has been introduced in the Micron product development to improve efficiency. The NAND product engineering validation team are working on projects with AI to make product validation more efficient.​

• In this project, a novel method will be developed to analysis the raw data stored on Google Cloud and automatically analysis the power characterization data with scripts deployed on cloud.​
• The student would have the opportunity to lean the power characterization method and data analysis skills with AI/ML techniques. ​
• The intern would also have the chance to learn how NAND flash is working and developed.​

Scope: using AI tool to generate codes for our project and explore machine learning techniques for the data analysis ​

• Deliverable: Auto power dashboard from raw data in Google cloud​
• Impact of project: improve product development efficiency​
• Skillset Require: General problem solving, data analysis , programming language Python​
• Course of interest: Electrical engineering, computing engineering, data science​
• Duration Period: Min 5 months, (Jan 2026 to May 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 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.

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