Work with Photo process owners to automate NZO workflows: analyze historical NZO and metrology datasets, build Python data pipelines, develop statistical or ML models to predict NZO risk, prototype automation logic or dashboards, and present results to engineering stakeholders.
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 - Fab10• Department: Fab10 HVM Photo - Process & Equipment Engineering (PEE)• Project Title: Automation of NZO(Non-Zero-Offset) for HVM Photo• Project Description: • Non-Zero-Offset (NZO) is a critical photo process tuning knob to ensure overlay performance and yield protection. Today, key parts of the NZO workflow-including NZO generation, data review, and post-implementation follow-up-rely heavily on manual data analysis and engineering judgment. This approach is resource-intensive and becomes increasingly inefficient as the number of process vintages expands across the manufacturing line.• This project aims to develop an automated, data-driven NZO framework leveraging Python-based analytics and modeling techniques. The intern will work closely with Photo process owners to understand the end-to-end NZO workflow, including wafer selection based on inline recipe and metrology criteria, NZO generation and system-level key steps, and NZO validation requirements. Based on this understanding, the intern will propose and prototype an automation solution to reduce manual touches, improve consistency, and enhance operational efficiency for HVM photo processes.• Project Scope & Learning Opportunities :• Understand HVM photo process flow and NZO control concepts• Analyze historical NZO, inline, and metrology datasets• Develop Python-based data pipelines for NZO analytics• Build statistical or machine-learning models to predict NZO risk and behavior• Design automated logic or dashboards to support NZO decision-making• Present findings, model performance, and recommendations to Photo engineering stakeholders• Deliverables:• Cleaned and structured NZO-related dataset• Python scripts for NZO analytics and modeling• Statistical model for NZO behavior or trigger conditions• Automation concept (logic flow, prototype, or dashboard) for NZO handling• Final technical presentation and documentation• Skillsets Required: • Python programming (data analysis, modeling, visualization)• Basic knowledge of statistics or machine learning• Strong problem-solving and analytical thinking• Ability to work with large datasets• Good communication skills for technical presentation.• Course of interests : Engineering, Data Science.
Duration Period: Min 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 [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: Singapore - Fab10• Department: Fab10 HVM Photo - Process & Equipment Engineering (PEE)• Project Title: Automation of NZO(Non-Zero-Offset) for HVM Photo• Project Description: • Non-Zero-Offset (NZO) is a critical photo process tuning knob to ensure overlay performance and yield protection. Today, key parts of the NZO workflow-including NZO generation, data review, and post-implementation follow-up-rely heavily on manual data analysis and engineering judgment. This approach is resource-intensive and becomes increasingly inefficient as the number of process vintages expands across the manufacturing line.• This project aims to develop an automated, data-driven NZO framework leveraging Python-based analytics and modeling techniques. The intern will work closely with Photo process owners to understand the end-to-end NZO workflow, including wafer selection based on inline recipe and metrology criteria, NZO generation and system-level key steps, and NZO validation requirements. Based on this understanding, the intern will propose and prototype an automation solution to reduce manual touches, improve consistency, and enhance operational efficiency for HVM photo processes.• Project Scope & Learning Opportunities :• Understand HVM photo process flow and NZO control concepts• Analyze historical NZO, inline, and metrology datasets• Develop Python-based data pipelines for NZO analytics• Build statistical or machine-learning models to predict NZO risk and behavior• Design automated logic or dashboards to support NZO decision-making• Present findings, model performance, and recommendations to Photo engineering stakeholders• Deliverables:• Cleaned and structured NZO-related dataset• Python scripts for NZO analytics and modeling• Statistical model for NZO behavior or trigger conditions• Automation concept (logic flow, prototype, or dashboard) for NZO handling• Final technical presentation and documentation• Skillsets Required: • Python programming (data analysis, modeling, visualization)• Basic knowledge of statistics or machine learning• Strong problem-solving and analytical thinking• Ability to work with large datasets• Good communication skills for technical presentation.• Course of interests : Engineering, Data Science.
Duration Period: Min 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 [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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What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
