Support development of an automated disposition system for inline wafer fab quality deviations by analyzing historical events, defining classification rules, developing/enhancing scripts and dashboards, validating automation against engineering judgement, and documenting system logic for deployment.
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: Micron Semiconductor Asia Pte Ltd (1 North Coast Drive, Singapore 757432)
Department: Process and Equipment Engineering
Project Title: Automated Disposition of Inline Quality Deviation Event
Project Description:
- In this project, the intern will support the development and enhancement of an automated disposition system that detects, classifies, and responds to inline lot quality deviation events in the wafer fabrication line. The system aims to reduce manual engineering workload, shorten response time, and improve overall lot quality decision consistency across tech nodes.
- The student will have the opportunity to learn and apply real-world semiconductor manufacturing concepts, including statistical process control (SPC), inline quality monitoring, data-driven decision rules, and automation workflows. They will also gain exposure to large-scale fab data, engineering judgement logic, and how automation is deployed in a high-volume manufacturing environment.
- The intern will also have the opportunity to participate in cross-functional discussions with process engineers, equipment engineers, data scientists, and operations teams. This includes joining technical reviews, presenting analysis findings, and contributing ideas to improve the disposition logic and user experience.
Project Scope:
- Analyze historical inline quality deviation events and disposition outcomes
- Identify patterns and define rules for automated classification and disposition
- Develop or enhance scripts and dashboards to support automated decision flow
- Validate the automated disposition against engineering judgement and refine accordingly
- Document the system logic, assumptions, and recommended next steps for sustained deployment
Deliverable: Improved fab throughput and quality through automation enablement
Skillsets Required: General problem solving, data analytics, programming languages (R, Python).
Course of Interest: Engineering, Computer Science, or Data Analytics related
Duration Period: Minimum 5 months (preferably September 2026 to February 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 [email protected]
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.
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: Micron Semiconductor Asia Pte Ltd (1 North Coast Drive, Singapore 757432)
Department: Process and Equipment Engineering
Project Title: Automated Disposition of Inline Quality Deviation Event
Project Description:
- In this project, the intern will support the development and enhancement of an automated disposition system that detects, classifies, and responds to inline lot quality deviation events in the wafer fabrication line. The system aims to reduce manual engineering workload, shorten response time, and improve overall lot quality decision consistency across tech nodes.
- The student will have the opportunity to learn and apply real-world semiconductor manufacturing concepts, including statistical process control (SPC), inline quality monitoring, data-driven decision rules, and automation workflows. They will also gain exposure to large-scale fab data, engineering judgement logic, and how automation is deployed in a high-volume manufacturing environment.
- The intern will also have the opportunity to participate in cross-functional discussions with process engineers, equipment engineers, data scientists, and operations teams. This includes joining technical reviews, presenting analysis findings, and contributing ideas to improve the disposition logic and user experience.
Project Scope:
- Analyze historical inline quality deviation events and disposition outcomes
- Identify patterns and define rules for automated classification and disposition
- Develop or enhance scripts and dashboards to support automated decision flow
- Validate the automated disposition against engineering judgement and refine accordingly
- Document the system logic, assumptions, and recommended next steps for sustained deployment
Deliverable: Improved fab throughput and quality through automation enablement
Skillsets Required: General problem solving, data analytics, programming languages (R, Python).
Course of Interest: Engineering, Computer Science, or Data Analytics related
Duration Period: Minimum 5 months (preferably September 2026 to February 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 [email protected]
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.
Micron Technology Singapore, Singapore, SGP Office
1 Woodlands Ind Park D St 1, Singapore, Singapore, 738799
Micron Technology Singapore, Singapore, SGP Office
1 N Coast Dr, Singapore , Singapore, Singapore, 757432
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