Intern - HBM Product Engineering (Advanced Data Analytics)

About the role

Micron's Heterogeneous Integration Group (HIG) is offering an internship in its High Bandwidth Memory (HBM) Product Engineering team, focused on Advanced Manufacturing Analytics for Early Deviation Detection. The project develops analytics solutions that improve visibility into manufacturing performance and process health for HBM products, using large-scale engineering datasets to find patterns and emerging process deviations. It combines data analytics, statistical modeling, machine learning and AI-enabled methods, and exposes the intern to semiconductor product engineering.

Key responsibilities

• Analyze manufacturing, assembly, test and characterization datasets to identify patterns and emerging process deviations.
• Develop automated data pipelines and monitoring solutions for key manufacturing and product health indicators.
• Apply statistical methods, machine learning models and AI-enabled analytics to detect anomalies and potential manufacturing risks.
• Investigate relationships between process parameters and critical product metrics such as yield, quality, reliability and performance.
• Design interactive dashboards and visualization tools for engineering teams.
• Deliver a final technical presentation summarizing findings, recommendations and measurable outcomes.

Required profile

• Pursuing a Bachelor's or Master's degree in Electrical Engineering, Electronic Engineering, Computer Science, Data Science, Semiconductor Engineering, Physics or a related field.
• Able to commit to a full-time internship period of 6 months.
• Strong analytical thinking, problem-solving, communication, collaboration and technical presentation skills.

Required skills

• Knowledge of statistics, data analytics, engineering principles or machine learning concepts.
• Programming experience in Python, SQL, MATLAB, JMP or similar analytical tools.
• Familiarity with dashboarding, data visualization or reporting platforms.
• AI proficiency and familiarity with AI tools, Generative AI, Agentic AI or AI-enabled workflows.

High-performing interns may be considered for future full-time employment, subject to business needs and hiring requirements.