# Intern - Engineer HVM PEE PHOTO [Micron Technology](https://www.jorb.ai/firms/micron-technology.md) · Singapore · [Research / Applied Science](https://www.jorb.ai/jobs/research-applied-science.md) Micron Technology is hiring a Intern - Engineer HVM PEE PHOTO in Singapore. Posted 2026-08-31; applications close 2026-10-30. **Apply**: https://careers.micron.com/careers/job/41680085 Posted 5d ago. ## Role details **Location** Singapore, Fab10 **Department** Fab10 High-Volume Manufacturing Photo Process and Equipment Engineering **Project Title** Automation of Non-Zero-Offset Control for High-Volume Manufacturing Photo Processes ## Project Description Non-Zero-Offset is a key photo-process control parameter used in overlay-performance management and yield protection. The current workflow includes data preparation, Non-Zero-Offset generation, engineering review, validation, and post-implementation monitoring. As the number of process vintages increases, a scalable analytical approach is needed to improve workflow consistency and efficiency. The intern will undertake a structured project to develop and evaluate an automated, data-driven Non-Zero-Offset framework using Python, statistical analysis, machine learning, and visualization. The project will provide practical exposure to photo-process engineering, inline metrology, data modeling, workflow automation, and AI-enabled engineering analysis. ## Objective of the Project - Develop an understanding of the end-to-end Non-Zero-Offset workflow, including wafer selection, inline recipe criteria, metrology requirements, generation logic, and validation. - Analyze historical Non-Zero-Offset, inline, and metrology data to identify patterns, risks, and improvement opportunities. - Develop a Python-based analytical framework that improves the consistency and efficiency of Non-Zero-Offset analysis. - Evaluate statistical, machine-learning, or approved AI-assisted methods for predicting Non-Zero-Offset behavior and potential risk conditions. ## Project Scope - Study the high-volume manufacturing photo-process flow and Non-Zero-Offset control methodology with relevant engineering subject matter experts. - Prepare and analyze historical Non-Zero-Offset, inline, recipe, and metrology datasets using Python-based data pipelines. - Develop and evaluate statistical or machine-learning approaches for identifying Non-Zero-Offset patterns, trigger conditions, and potential risk indicators. - Design and prototype an automated logic flow, visualization, or dashboard that improves Non-Zero-Offset review and engineering decision-making. ## Learning Opportunities - Gain practical exposure to photo-process engineering, overlay control, inline metrology, and semiconductor manufacturing data. - Learn Python-based data preparation, statistical analysis, modeling, visualization, and workflow-automation techniques. - Develop familiarity with machine learning and approved AI-enabled tools for pattern identification, analytical interpretation, and technical documentation. - Collaborate with photo-process owners and engineering subject matter experts to validate analytical results and translate findings into improvement recommendations. ## Deliverables - A cleaned, structured, and documented dataset containing relevant Non-Zero-Offset, inline, recipe, and metrology information. - Reusable Python scripts for data preparation, Non-Zero-Offset analysis, modeling, and visualization. - A validated statistical or machine-learning model for Non-Zero-Offset behavior, trigger conditions, or risk identification. - An automation prototype and final technical presentation covering the methodology, results, limitations, recommendations, and future scaling opportunities. ## Impact of the Project - Reduce repetitive analytical steps within the selected Non-Zero-Offset workflow. - Improve consistency and visibility in Non-Zero-Offset generation, review, and validation. - Enable earlier identification of potential overlay-performance or yield-related risk conditions. - Demonstrate a scalable analytical and automation framework for high-volume manufacturing photo processes. ## Skillsets Required - Proficiency in Python for data preparation, analysis, modeling, and visualization. - Basic knowledge of statistics, machine learning, or applied data analytics. - Strong analytical thinking, structured problem-solving, and ability to work with large datasets. - Effective technical communication skills and familiarity with approved AI tools or AI-enabled analytical workflows. ## Course of Interest The ideal candidate should be pursuing a degree in Electrical Engineering, Electronic Engineering, Chemical Engineering, Mechanical Engineering, Industrial and Systems Engineering, Data Science, Computer Science, or a related field. ## Duration The ideal candidate should be able to commit to a full-time university internship period of five months, from January 2027 to May 2027. ## Opportunities for Full-Time Employment Interns may be considered for future internship or full-time employment opportunities based on business requirements, role availability, project outcomes, and the applicable recruitment process. ## Applying to this role This Intern - Engineer HVM PEE PHOTO role at Micron Technology runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. [Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=micron-technology&job=6a95703cc94af525768bf7ac) ## More open roles at Micron Technology - [Intern - Process & Equipment Engineering](https://www.jorb.ai/jobs/6a999d71936e9e105948156b.md) – Singapore, posted 2d ago - [Intern - F10 QEM Product Quality Engineering Yield Data Analytics](https://www.jorb.ai/jobs/6a999d71936e9e105948156a.md) – Singapore, posted 2d ago - [Logistics Analyst](https://www.jorb.ai/jobs/6a97dafb29ef2d8c17091ecb.md) – Singapore, posted 3d ago - [Intern - ADTS PEE Dry Etch](https://www.jorb.ai/jobs/6a97a29ba5c36861fd8f357f.md) – Singapore, posted 3d ago - [Intern- ADTS PIE RDA](https://www.jorb.ai/jobs/6a97dafb29ef2d8c17091ecd.md) – Singapore, posted 3d ago ## Other open Research / Applied Science roles - [PhD Student Intern - AI Research](https://www.jorb.ai/jobs/69cba3357cfd48bf87e17edf.md) at [SAP](https://www.jorb.ai/firms/sap.md) – Singapore, posted 5mo ago - [PhD Research Associate (Industry PhD Program) - Artificial Intelligence, SAP Labs Singapore](https://www.jorb.ai/jobs/69503ab2340e619957b1718c.md) at [SAP](https://www.jorb.ai/firms/sap.md) – Singapore, posted 8mo ago - [2027 Machine Learning Research Associate Program - PhD (New York)](https://www.jorb.ai/jobs/6a2c0d0370b3225d345daa2b.md) at [Morgan Stanley](https://www.jorb.ai/firms/morgan-stanley.md) – New York, posted 2mo ago - [College Intern - Job Description Metrology, Defect Inspection, and Data Analytics for Die-to-Wafer Hybrid Bonding](https://www.jorb.ai/jobs/6a9ab538998055adcf911c66.md) at [Applied Materials](https://www.jorb.ai/firms/applied-materials.md) – Singapore, posted 1d ago - [Research Intern](https://www.jorb.ai/jobs/6a97a156f5566c71979d443e.md) at [Microsoft](https://www.jorb.ai/firms/microsoft.md) – Singapore, posted 3d ago --- Updated: 2026-09-05 Canonical: https://www.jorb.ai/jobs/6a95703cc94af525768bf7ac