Intern - Test Equipment Technician

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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.

Department

Solid State Drive Test Equipment Engineering Project Title

Development of AI-Driven Data Pipeline and Knowledge Framework for Equipment Intelligence Project Description

Artificial intelligence and data analytics are increasingly being introduced into the semiconductor business to improve engineering efficiency, equipment performance, and decision quality. In Solid State Drive (SSD) test equipment engineering, valuable information is generated from tester events, equipment changeover activities, troubleshooting records, maintenance history, engineering observations, and improvement projects. This project aims to develop a structured framework that connects these information sources into a practical digital improvement tool. By integrating diverse data sources, the project seeks to transform equipment-related data into actionable insights that support engineering excellence and business improvement. Scope of Work

• Design and develop a data pipeline to integrate multiple equipment-related data sources (e.g., tester events, maintenance logs, troubleshooting records)
• Structure and organize engineering data into a usable knowledge framework
• Apply data analytics techniques to extract meaningful insights from equipment data
• Identify recurring issue trends, problem patterns, and improvement opportunities
• Develop visualization dashboards to present data insights effectively
• Explore AI prompting and classification methods to enhance knowledge extraction and usability
• Validate insights with engineering use cases and feedback

Deliverables

• End-to-end data pipeline integrating multiple equipment data sources
• Structured knowledge framework for equipment-related information
• Interactive dashboard(s) for data visualization and insight tracking
• Analytical insights report, including:
  • Recurring issue trends
  • Improvement opportunities
  • Equipment learning patterns
  • Action effectiveness evaluation
• Documentation of methodology, framework design, and recommendations

Learning Outcomes

The intern will have the opportunity to:

• Learn and apply industrial data analytics and data structuring techniques
• Gain hands-on experience in dashboard development and visualization tools
• Develop knowledge in artificial intelligence prompting and problem classification
• Understand semiconductor equipment engineering concepts and workflows
• Participate in an end-to-end solution development environment and contribute ideas
• Learn from experienced subject matter experts while developing a practical business solution

Required Skillset

• Basic knowledge of data analytics and data processing
• Familiarity with programming languages (e.g., Python, SQL, or equivalent)
• Understanding of data visualization tools (e.g., Power BI, Tableau, or similar)
• Strong analytical thinking and problem-solving skills
• Interest in artificial intelligence / machine learning concepts
• Good communication and collaboration skills

Course of Study

• Data Science
• Computer Science / Computer Engineering
• Electrical / Electronic Engineering
• Industrial Engineering or related disciplines About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enri