# Intern - PIE RDA Technician [Micron Technology](https://www.jorb.ai/firms/micron-technology.md) · Singapore · [Analytics / BI](https://www.jorb.ai/jobs/analytics-bi.md) Micron Technology is hiring a Intern - PIE RDA Technician in Singapore. Posted 2026-07-24; applications close 2026-09-22. **Apply**: https://careers.micron.com/careers/job/43336682 Posted 2d ago. ## Role details ## Project Title Manufacturing Process Analytics and Equipment Shading Characterization Using Inspection Data ## Department Manufacturing Process Engineering and Smart Manufacturing & Artificial Intelligence **Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using 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. ## Project Description This internship offers an opportunity to learn how data analytics is applied within a high-volume semiconductor manufacturing environment. The intern will be exposed to process monitoring concepts and statistical analysis methods through the study of historical manufacturing and inspection datasets. The primary project focuses on collaborating with the Smart Manufacturing & Artificial Intelligence team to investigate equipment hardware-related shading phenomena observed in inspection data. The intern will analyze how shading patterns influence data quality and process control, and develop analytical insights to support long-term manufacturing improvement initiatives. Through this project, the intern will gain hands-on experience in semiconductor manufacturing data, applied statistics, and cross-functional collaboration between process engineering and advanced analytics teams. ## Objective of the Project - Develop foundational understanding of semiconductor manufacturing process control and inspection data - Apply data analytics techniques to identify systematic patterns and variations in large datasets - Build analytical thinking and problem-solving skills in a real manufacturing context ## Project Scope - Study historical Statistical Process Control (SPC) data and inline defect datasets to understand process behavior - Analyze defect and inspection data to identify recurring patterns, anomalies, and correlations - Investigate and characterize equipment hardware-related shading effects using inspection datasets - Perform data cleaning, feature extraction, and exploratory statistical analysis - Examine relationships between shading signatures, equipment conditions, process steps, and defect characteristics - Develop data visualizations or analytical methods to highlight shading trends and detection opportunities - Participate in technical discussions with process engineering and analytics stakeholders to translate findings into insights ## Learning Opportunities - Exposure to semiconductor manufacturing operations and process control concepts - Practical experience in data analytics, statistical analysis, and visualization - Understanding how manufacturing challenges are approached using data-driven methods - Experience working in a cross-functional engineering and analytics environment ## Project Deliverables - **Process Analytics Summary** - Key observations derived from SPC and defect data analysis - Analytical interpretation of observed process variations - **Shading Characterization Report** - Quantitative analysis of shading patterns and contributing factors - Correlation of shading effects with equipment and process variables - **Data Visualization / Analytical Outputs** - Charts, dashboards, or notebooks illustrating trends and shading signatures - Documentation of analytical approach and findings ## Impact of Project - Improved understanding of inspection data quality challenges - Data-driven insights to support future process control and monitoring strategies - Contribution to long-term manufacturing analytics capability development ## Skillsets Required - Basic understanding of data analysis and statistics - Familiarity with at least one of the following tools: - Python - SQL - Microsoft Excel - Strong analytical thinking and willingness to learn ## Course of Interest - Electrical or Electronic Engineering - Mechanical Engineering - Materials Science - Semiconductor-related disciplines ## About Micron Technology, Inc. Micron is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a focus on customers, technology leadership, and manufacturing and operational excellence, Micron delivers high-performance DRAM, NAND, and NOR memory and storage products through the Micron® and Crucial® brands. Every day, innovations created by Micron’s people fuel the data economy, enabling advances in artificial intelligence and 5G applications—from the data center to the intelligent edge—and across the client and mobile user experience. ## Applying to this role This Intern - PIE RDA Technician 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. 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