Intern - HBM Product Analytics & AI for Manufacturing

Micron Technology, Inc.; Singapore; On-site; SGD 17,000 - 23,000; Full time

Benefits offered by this job

6-month internship

Job summary

Micron Technology, Inc. is offering an internship in Singapore within the Heterogeneous Integration Group (HIG) – High Bandwidth Memory (HBM) Product Engineering.

The project focuses on Advanced Manufacturing Analytics for Early Deviation Detection, using statistics, ML and AI-enabled workflows to improve yield, quality and manufacturing outcomes. You will develop analytics solutions, automated pipelines, dashboards and gain exposure to semiconductor product engineering.

Qualifications

• Strong analytical thinking and problem-solving abilities.
• Knowledge of statistics, data analytics, or ML concepts.
• Programming in Python, SQL, MATLAB, JMP or similar tools.
• Familiarity with dashboards, visualization or reporting platforms.
• AI proficiency with Generative/Agentic AI or AI-Enabled workflows.
• Strong communication and presentation skills.

Responsibilities

• Analyze manufacturing, assembly, test and characterization data to find patterns and deviations.
• Develop automated data pipelines and monitoring for health indicators.
• Apply statistics, ML and AI-enabled analytics to detect anomalies and risks.
• Investigate relationships between process parameters and yield, quality, reliability, and performance.
• Design dashboards and visualization tools for engineering teams.

Skills

Analytical thinking

Statistics

Data analytics

Machine learning

Python

SQL

MATLAB

Dashboarding

Data visualization

Communication

Education

Electrical Engineering

Electronic Engineering

Computer Science

Data Science

Semiconductor Engineering

Physics

Tools

JMP

Job description

Micron Technology, Inc. is offering an internship in Singapore within the Heterogeneous Integration Group (HIG) – High Bandwidth Memory (HBM) Product Engineering.

The project focuses on Advanced Manufacturing Analytics for Early Deviation Detection, using statistics, ML and AI-enabled workflows to improve yield, quality and manufacturing outcomes. You will develop analytics solutions, automated pipelines, dashboards and gain exposure to semiconductor product engineering.