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Singapore
Onsite
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
The ideal candidate should be pursuing 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 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.