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Micron Singapore invites a motivated student to join our Backend Department as a full-time internship in Test Engineering. You will work on the Machine Availability and Parts per Jam Improvement project, applying predictive analytics, data automation, and Agentic AI to improve burn-in equipment performance.
Under guidance from engineers, you will analyze alarm logs, develop automated notifications and visualizations in Power BI, and evaluate AI-enabled workflows.
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.
The intern will undertake an engineering project to improve burn-in equipment performance using predictive analytics, data automation, and Agentic AI. Under engineer guidance, the intern will analyze equipment alarm logs, investigate downtime patterns, and develop data-driven solutions to improve machine availability and Parts per Jam performance.
Interns may be considered for future internship or full-time employment opportunities based on business needs, role availability, academic completion, and demonstrated capabilities.
Learn the operating principles, alarm structures, and performance indicators of selected burn-in equipment. Collect, clean, structure, and validate equipment alarm-log data. Develop trigger logic and automated notifications for selected JTS equipment, burn-in board, and socket alarms. Apply statistical and predictive methods to identify factors affecting availability, downtime, and Parts per Jam. Evaluate the feasibility of socket-masking automation and relevant Agentic AI solutions.
Gain practical knowledge of semiconductor test processes and burn-in equipment. Develop experience with Python, Structured Query Language, Microsoft Power BI, and Microsoft Power Automate. Learn predictive analytics, data visualization, trigger validation, and performance monitoring. Explore Generative AI, Microsoft Copilot, and Agentic AI for engineering automation.
The ideal candidate should be pursuing a degree in Electrical and Electronic Engineering, Computer Engineering, Data Science, Mechatronics Engineering, or a related technical field.
The ideal candidate should be able to commit to a full time internship period of at least 6 months, from January 2027 to June 2027.
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