AI-Enabled Defect Analytics Intern (Real-Time Yield)

Micron Technology, Inc; Singapore; On-site; SGD 17,000 - 22,000; Full time

Job summary

Micron Technology, Inc invites a full-time internship in Singapore for an AI-enabled defect analytics and yield investigation project. You will analyze defect and yield data, identify trends, and develop analytics or AI-based solutions under engineering guidance.

The role emphasizes data-driven findings, collaboration with engineering teams, and delivering a validated methodology with impact assessments. 5-month commitment Jan–May 2027 is expected.

Qualifications

• Pursuing a technical degree in a related field (e.g., engineering, data science).
• Strong analytical and problem-solving skills.
• Basic knowledge of statistics and data analysis.
• Familiarity with Python, SQL, data visualization or equivalent tools.
• Interest in Generative AI and AI-enabled workflows.
• Clear communication and collaboration skills.

Responsibilities

• Analyze defect, yield, and excursion data to identify trends.
• 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 data.
• Document methodologies and communicate findings.

Skills

Analytical skills

Statistics basics

Data visualization

Communication skills

Collaboration skills

Generative AI interest

Education

Electrical Engineering / Electronics Engineering / Materials Engineering / Data Science / Computer Engineering degree

Tools

Python

SQL

Job description

Micron Technology, Inc invites a full-time internship in Singapore for an AI-enabled defect analytics and yield investigation project. You will analyze defect and yield data, identify trends, and develop analytics or AI-based solutions under engineering guidance.

The role emphasizes data-driven findings, collaboration with engineering teams, and delivering a validated methodology with impact assessments. 5-month commitment Jan–May 2027 is expected.