Intern - F10 Digital and Automation Solutions Team (DAST) Production Control

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

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity sustainability and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Project Title:
Smart Diagnosis System for Reclaim Wafer Traceability

Project Description:
This project focuses on developing a Smart Diagnosis System to enhance traceability and operational efficiency in reclaim wafer management. The system will enable accurate capture and linkage of wafer scribe data to container identifiers during transfers allowing seamless tracking through vendor assignment and reclaim outcomes. The aim is to improve reclaim yield and reduce operational costs through intelligent automation and data integration.

Objective of the Project:
To design and prototype a system that automates data capture and analysis for wafer traceability enabling data-driven insights and process optimization.

Project Scope:

• Prototype a traceability system using barcode scanning and image recognition

• Apply data analytics tools such as artificial intelligence structured query language and visualization platforms

• Analyze reclaim performance by wafer type and vendor

• Document findings and propose scalable solutions
  

Learning Opportunities:

• Hands-on experience with automation technologies and data analytics

• Exposure to semiconductor manufacturing and reclaim processes

• Development of problem-solving collaboration and technical communication skills

• Understanding of project lifecycle and milestone planning

Deliverable:
A functional prototype of the Smart Diagnosis System documentation of findings and a presentation of recommendations for broader implementation.

Impact of Project:
The project will contribute to improved reclaim yield reduced operational costs and enhanced traceability in wafer management supporting long-term process excellence.

Skillset Required:

• Basic knowledge of Python SQL or data visualization tools

• Interest in artificial intelligence machine vision or manufacturing systems

• Strong analytical mindset and attention to detail

Course of Interests:
Engineering Computer Science Data Analytics Manufacturing Systems or related fields

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.

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