Intern – Assembly Process Technician (Yield Enhancement / Failure Analysis)

**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. **Project** **Description**: –This project focuses on Electrical Failure Analysis (EFA) to identify failure sources and establish correlations between failure modes and upstream assembly processes. The project will also involve the development of an automation solution to generate commonality reports by integrating Electrical Failure Analysis data with upstream manufacturing data. Currently, these datasets are extracted separately from Snowflake queries and manually consolidated for deviation lot analysis. The proposed solution aims to streamline data integration, improve analysis efficiency, and enhance data accuracy for QDR(Quality deviation report) investigations. **Project Scope(Learning Opportunities):** –Gain hands-on experience in Electrical Failure Analysis (EFA) and develop understanding of backend semiconductor products. –Develop knowledge of assembly process flow and quality deviation analysis –Exposure to advanced failure analysis tools and their applications in manufacturing –Experience working in a high-volume manufacturing environment with cross-functional teams, including Process, QDR Technology, and Equipment Engineering **Deliverable(Impact of Project):** –Further enhancement on automation solution to integrate Snowflake manufacturing data with Electrical Failure Analysis results for commonality reporting. –Evaluate and recommend suitable automation approaches for QDR analysis workflows. –Enhancement of defect library based on SBIN failure signatures to support faster failure classification and analysis –Improve efficiency and consistency of failure analysis data processing and reporting. **Skillsets** **Require** **:** –Basic understanding of semiconductor manufacturing or electronics fundamentals –Strong analytical and problem-solving skills. –Basic programming or scripting knowledge (e.g., Python, SQL, or similar) will be an advantage and Familiarity with data analysis tools (e.g.Power BI, or equivalent) . **Course** **of interests** **:** –Electrical & Electronic Engineering –Computer Engineering –Mechanical Engineering –Semiconductor & Microelectronics Engineering . **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](mailto:hrsupport_jp@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 co…