AI-Enabled CMP Equipment Health Intern

Micron Technology; Singapore; On-site; SGD 20,000 - 33,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites a full-time 5-month internship in the Process Equipment Engineering (PEE) department. You will work on an AI-enabled CMP equipment health and breakage risk dashboard, integrating CMP tool data with manufacturing data to identify early failure signals.

The role covers data exploration, predictive analytics, and visualization using Power BI, with exposure to reliability engineering and AI applications in high-volume semiconductor manufacturing.

Qualifications

• Pursuing a degree in a STEM field (e.g., engineering or data science).
• Strong analytical and problem-solving abilities.
• Familiarity with Python/SQL or data analysis tools.

Responsibilities

• Analyze historical CMP equipment and manufacturing data.
• Develop an AI-enabled risk scoring model for wafer breakage and excursions.
• Create interactive Power BI dashboards to visualize health and trends.
• Evaluate AI/automation options for reporting and insights.

Skills

Python

SQL

Power BI

ML concepts

Education

Mechanical Engineering

Electrical Engineering

Mechatronics Engineering

Computer Engineering

Data Science

Tools

Power BI

Job description

Micron Technology, Inc. in Singapore invites a full-time 5-month internship in the Process Equipment Engineering (PEE) department. You will work on an AI-enabled CMP equipment health and breakage risk dashboard, integrating CMP tool data with manufacturing data to identify early failure signals.

The role covers data exploration, predictive analytics, and visualization using Power BI, with exposure to reliability engineering and AI applications in high-volume semiconductor manufacturing.