AI-Driven Defect Analytics Intern

Micron Technology; Singapore; On-site; SGD 17,000 - 26,000; Full time

Job summary

Micron Technology, Inc. in Singapore offers a full-time internship in Real-Time Defect Analysis, focusing on AI-enabled defect analytics and yield investigation.

You will work under engineer guidance to analyze defect and yield data, investigate excursions, and develop analytics or AI-enabled solutions that improve analysis efficiency and accelerate root-cause identification. The program emphasizes statistical analysis, data visualization, and collaboration with engineering teams, with

Qualifications

• Strong analytical and problem-solving skills.
• Basic knowledge of statistics, data analysis, or semiconductor manufacturing.
• Familiarity with Python, Structured Query Language, data visualization, or equivalent tools.
• Interest in Generative AI, Agentic AI, or AI-Enabled engineering workflows.
• Clear communication and collaboration skills.

Responsibilities

• Analyze defect and yield data to identify trends and correlations.
• Investigate selected wafer, lot, tool, and process-related yield issues.
• Develop dashboards, scripts, or AI-Enabled workflows for defect analysis.
• Collaborate with engineering teams to collect and validate relevant data.
• Document methodologies and communicate project findings.
• Provide data-driven recommendations to improve yield and analysis efficiency.

Skills

Analytical thinking

Statistics

Data visualization

Generative AI

Communication

Collaboration

Education

Electrical Engineering

Electronics Engineering

Materials Engineering

Data Science

Computer Engineering

Tools

Python

SQL

Data Visualization

Job description

Micron Technology, Inc. in Singapore offers a full-time internship in Real-Time Defect Analysis, focusing on AI-enabled defect analytics and yield investigation.

You will work under engineer guidance to analyze defect and yield data, investigate excursions, and develop analytics or AI-enabled solutions that improve analysis efficiency and accelerate root-cause identification. The program emphasizes statistical analysis, data visualization, and collaboration with engineering teams, with