Intern - HIG PSE IE Management

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.

As an intern for HIG PSE IE Management, you will be part of the HIG PSE IE team in managing and optimizing the High Bandwidth Memory (HBM) sample workflow, with a focus on data analytics and dashboard development. This role offers hands-on experience in semiconductor sample logistics, process documentation, and business intelligence. The intern will collaborate with engineering, planning, and operations teams to drive improvements in workflow efficiency and data-driven decision-making.

Project Scope: HBM Sample Management Operations

• Mapping and documenting the end-to-end HBM sample workflow (die bank, probe, test, shipment).
• Tracking and disposition of remnant lots using MES and SAP systems.
• Observe and report on manual operations such as wafer flipping, kitting, and tagging.

Data Analytics & Dashboard Building

• Collect, clean, and analyze operational data from sample management processes.
• Develop interactive dashboards (Power BI/Tableau) for WIP tracking, risk monitoring, and performance analytics.
• Automate data pipelines and reporting using Python, SQL, or Power Automate.

Process Improvement & Documentation

• Identify workflow bottlenecks and propose process enhancements.
• Prepare clear documentation and visual guides for sample management procedures.
• Summarize findings and present recommendations to stakeholders.

Cross-functional Collaboration

• Collaborate with planners, engineers, and IT teams to understand system integrations and operational handoffs.
• Participate in meetings and contribute to team discussions on process optimization and analytics.

Project Description

Map and document the full HBM sample flow: Die Bank → Probe → Test → FG → Shipment.

•Analyze MES and SAP transitions, including FG08 to SHOP and MAM handoffs.
•Study remnant control strategies using Power BI dashboards for Q-time and risk monitoring.
•Observe manual operations such as wafer flipping, kitting, and tagging in MAM.
•Understand probe flow logic including C3/C4 re-ship SOP and fuse blow operations.
•QA routing and disposition tracking for lots tagged with QA attributes. Qualifications

• Pursuing a Bachelor's or Master's degree in Industrial Engineering, Systems Engineering, Computer Science, Data Science, or a related field.
• Strong analytical skills and familiarity with data analysis tools (Excel, Power BI, Tableau, Python, SQL).
• Interest in semiconductor manufacturing, workflow optimization, and business intelligence.
• Good communication and teamwork skills.
• Ability to learn quickly and adapt to new systems and processes.

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.

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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.

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