Intern, Facilities AI Engineering

Project Title

Fab 10N Facilities Artificial Intelligence and Workflow Transformation

Location

Singapore Fab 10N

Department

Facilities Engineering, Artificial Intelligence and Smart Facilities

Project Description

This internship offers the opportunity to explore the application of Artificial Intelligence, Machine Learning, data analytics, automation, and digital technologies within a semiconductor manufacturing facilities environment.

The project focuses on developing AI-Enabled solutions to enhance equipment reliability, predictive analytics capabilities, operational efficiency, knowledge accessibility, and engineering decision-making. The intern will gain exposure to real-world industrial datasets, engineering workflows, cutting-edge AI technologies, and digital transformation initiatives.

Through collaboration with Facilities engineers and domain experts, the intern will learn how advanced analytics and Artificial Intelligence can be applied to solve operational challenges and create business value.

Objective of the Project

• Develop AI-Enabled solutions to improve Facilities Engineering analytics and decision-making.
• Apply Machine Learning and data analytics to equipment reliability, predictive maintenance, and operational data.
• Explore workflow-automation opportunities that improve engineering productivity and knowledge accessibility.
• Demonstrate the potential value of Artificial Intelligence within Smart Facilities initiatives.

Project Scope

• Analyse operational and sensor data to identify equipment trends, anomalies, and optimization opportunities.
• Develop Artificial Intelligence or Machine Learning prototypes for predictive maintenance and equipment monitoring.
• Create dashboards, visualization tools, or automation workflows that improve engineering decision-making.
• Explore AI-Enabled knowledge-management solutions that improve information accessibility and reuse.

Learning Opportunities

• Explore Artificial Intelligence and Machine Learning techniques for facilities equipment reliability and predictive maintenance.
• Learn how industrial data is collected, structured, governed, and used in Artificial Intelligence applications.
• Apply software-engineering principles to develop AI-Enabled tools, dashboards, and automation solutions.
• Gain exposure to Smart Facilities initiatives, including predictive analytics, robotics, and automation frameworks.
• Develop experience in Artificial Intelligence solution evaluation, validation, and continuous improvement.

Deliverables

• Artificial Intelligence prototypes or proof-of-concept solutions addressing selected facilities engineering challenges.
• Data analytics dashboards that provide actionable engineering insights.
• Predictive models or anomaly-detection solutions for facilities equipment monitoring.
• Structured knowledge repository or AI-Enabled knowledge-retrieval solution.
• Final documentation and presentation summarising findings, recommendations, limitations, and potential business value.

Impact of the Project

• Improve visibility into facilities equipment performance and reliability.
• Enable earlier identification of equipment anomalies and potential performance issues.
• Enhance engineering decision-making through analytics, dashboards, and AI-Enabled insights.
• Demonstrate opportunities to improve Facilities Engineering workflows and knowledge accessibility through digital transformation.

Skillsets Required

• Basic understanding of Artificial Intelligence, Machine Learning, data analytics, or statistical concepts.
• Programming experience in Python, Structured Query Language, or similar languages.
• Familiarity with data visualization tools such as Power BI, Tableau, or equivalent platforms.
• Understanding of databases, data processing, and software-development principles.
• Curiosity to learn emerging technologies; familiarity with Generative AI, AI Assistants, or AI-Enabled workflows is advantageous.

Course of Interest

The ideal candidate should be pursuing a Degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics Engineering, or a related field.

Internship Details

Duration: The ideal candidate should be able to commit to a full-time internship period of 5 months, from January to June 2027.

High-performing interns who demonstrate strong technical capability, learning agility, and successful project outcomes may be considered for future internship or full-time employment opportunities.

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.

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.

Fraud Alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website.