Intern - HIG HBM Product Engineering (Advanced Data Analytics)

Job Title

Intern - HIG HBM Product Engineering (Advanced Data Analytics)

Role Summary

Six-month full-time internship within the Heterogeneous Integration Group (HIG) supporting High Bandwidth Memory (HBM) product engineering. The intern will develop data analytics and AI-enabled solutions to detect manufacturing deviations earlier and improve product yield, quality, reliability, and performance.

Experience Level

Entry-level internship for current undergraduate or graduate students. Intended for candidates with academic experience in data analytics, statistics, or engineering; prior industry experience not required.

Responsibilities

Execute a defined analytics project to identify and escalate manufacturing deviations and product risks.

• Analyze manufacturing, assembly, test, and characterization datasets to identify patterns and emerging deviations.
• Develop automated data pipelines and monitoring solutions for key manufacturing and product-health indicators.
• Apply statistical analysis, machine learning, and AI-enabled methods for anomaly detection and early warning.
• Investigate relationships between process parameters and metrics such as yield, quality, reliability, and performance.
• Design interactive dashboards and visualizations to deliver actionable insights to engineering teams.
• Deliver analytical models, automated workflows, dashboards, and a final technical presentation summarizing findings and recommendations.

Requirements

Minimum technical and personal skills required for successful completion of the internship.

• Must-have: Strong analytical thinking and problem-solving skills; familiarity with statistics or data analytics concepts.
• Must-have: Programming experience in Python or SQL; experience with MATLAB or JMP is acceptable.
• Must-have: Ability to build data visualizations and dashboards; experience with visualization or reporting tools.
• Must-have: Effective written and verbal communication; ability to present technical findings to engineering stakeholders.
• Nice-to-have: Practical experience with machine learning models or AI-enabled workflows, including Generative AI and Agentic AI techniques.
• Nice-to-have: Prior exposure to large-scale manufacturing or semiconductor datasets.
• Commitment: Available full-time for a 6-month internship period.

Education Requirements

Pursuing a Bachelor's or Master's degree in Electrical Engineering, Electronic Engineering, Computer Science, Data Science, Semiconductor Engineering, Physics, or a closely related technical field.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.