Intern- MSB Test Engineer

Micron; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Micron Technology, Singapore, invites you to join a 5-month internship in Test Engineering. You will work on AI-enabled predictive analytics for SSD test equipment health monitoring, applying data science to real-world manufacturing challenges.

You will develop skills in data extraction, visualization, and AI-driven maintenance strategies, collaborating with cross-functional teams to deliver dashboards and actionable insights that improve equipment reliability and product quality.

Qualifications

• Fundamental understanding of engineering principles and data analytics concepts.
• Programming knowledge in Python, SQL, or equivalent analytical tools.
• Experience with data visualization platforms such as Tableau or Power BI.

Responsibilities

• Develop a centralized equipment health monitoring dashboard using engineering datasets.
• Perform statistical analysis to identify indicators of equipment degradation.
• Create an AI-assisted anomaly detection methodology for SSD test subsystems.
• Document the analysis methodology, results, and business impact of the solution.

Skills

Python

SQL

Data viz

Analytical

Communication

Tools

Tableau

Power BI

Job description

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.

Location Singapore - Department Test Engineering - Project Title AI-Enabled Predictive Analytics for SSD Test Equipment Health Monitoring

Project Description

Objective of the Project: Develop a data-driven equipment monitoring framework that leverages engineering data and AI-enabled analytics to identify early indicators of equipment degradation, optimize maintenance strategies, and improve SSD test equipment reliability in a high-volume semiconductor manufacturing environment.

The intern will gain hands-on exposure to semiconductor manufacturing, equipment engineering, data analytics, automation, and AI-enabled engineering workflows while working on real-world manufacturing challenges.

Project Scope

Learning Opportunities

• Understand SSD test manufacturing processes and semiconductor production environments.
• Learn the architecture and operation of automated SSD test equipment platforms.
• Gain experience in equipment reliability engineering and predictive maintenance methodologies.
• Develop skills in data extraction, cleansing, analysis, and visualization using engineering datasets.
• Apply AI tools and analytical techniques to derive actionable equipment health insights.
• Collaborate with equipment, process, manufacturing, and automation engineering teams on cross-functional improvement initiatives.

Deliverables

• Develop a centralized equipment health monitoring dashboard utilizing manufacturing and equipment datasets.
• Perform statistical analysis to identify key indicators associated with equipment performance degradation.
• Create an AI-assisted anomaly detection methodology for selected equipment subsystems.
• Recommend predictive maintenance opportunities based on engineering data findings.
• Document the analysis methodology, results, and business impact of the implemented solution.
• Present project outcomes and recommendations to site engineering stakeholders.

Skillsets Required

• Fundamental understanding of engineering principles and data analysis concepts.
• Programming knowledge in Python, SQL, or equivalent analytical tools.
• Familiarity with data visualization platforms such as Tableau, Power BI, or similar tools.
• Strong analytical and problem-solving skills.
• Effective verbal and written communication skills.
• Exposure to AI tools, machine learning concepts, or AI-enabled workflows is advantageous.
• Ability to work independently while collaborating effectively within cross-functional teams.

Course of Interest

• Computer Engineering
• Electrical Engineering
• Electronic Engineering
• Mechanical Engineering
• Data Science
• Industrial Engineering
• Computer Science
• Artificial Intelligence
• or a related field of study.

Duration of Period

• The ideal candidate should be able to commit to a full-time internship period of 5 months from Jan to May 2027.

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 [e-mail].

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.