INTERNSHIP DETAILS

Intern - Manufacturing Technician

CompanyMicron Technology
LocationSingapore
Work ModeOn Site
PostedJune 9, 2026
Internship Information
Core Responsibilities
The intern will analyze process and equipment data to optimize the Die Attach manufacturing process and identify variability drivers. They will apply AI and data analytics techniques to develop dashboards and propose improvements for yield and efficiency.
Internship Type
full time
Company Size
38310
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Micron is 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 (AI) and compute-intensive applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more about Micron Technology, Inc. (Nasdaq: MU), visit micron.com.
About the Role

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:

Data-Driven Optimization of Die Attach Manufacturing Performance

Project Description:

This project focuses on improving the understanding and performance of the Die Attach process within semiconductor manufacturing. The intern will analyze process and equipment data to identify trends, variability drivers, and opportunities for optimization.
The project will explore the application of data analytics and AI techniques to enhance process visibility, detect anomalies, and support data-driven decision-making in a high-volume manufacturing environment.

Objective of the Project:

  • Identify key factors influencing Die Attach process performance (e.g., yield, cycle time)
  • Develop insights into process trends and variability
  • Apply analytics or AI techniques to detect anomalies or optimization opportunities
  • Propose improvement recommendations based on data analysis

Project Scope / Learning Opportunities:

  • Gain understanding of Die Attach process and semiconductor manufacturing flow
  • Perform data analysis and visualization on manufacturing datasets
  • Apply statistical methods and/or machine learning techniques
  • Develop dashboards or tools to monitor key process indicators
  • Collaborate with engineering teams to interpret findings

Deliverables:

  • Data analysis report on process performance trends
  • Visualization dashboard for selected KPIs
  • Prototype model for anomaly detection or trend analysis (if applicable)
  • Final presentation with recommendations and potential impact

Impact of Project:

  • Improved process visibility and understanding
  • Identification of opportunities for yield and efficiency improvement
  • Enhanced use of data analytics in manufacturing decision-making

Skillsets Required:

  • Basic engineering knowledge
  • Analytical and problem-solving skills
  • Familiarity with data tools (e.g., Excel, Python, or equivalent)
  • Interest in data analytics, automation, or AI

Course of Interest:

Minimum a NITEC/DIploma in Engineering (Electrical, Mechanical, Manufacturing, Industrial, Mechatronics), Data Science or Computer Engineering

Duration:

Minimum 4 months

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 in the About Micron Technology, Inc.

Key Skills
Data AnalysisProblem SolvingPythonExcelStatistical MethodsMachine LearningData VisualizationAnomaly DetectionProcess OptimizationSemiconductor Manufacturing
Categories
ManufacturingEngineeringData & AnalyticsTechnologyScience & Research