AI-Driven CMP Equipment Health Intern

Micron; Singapore; On-site; SGD 17,000 - 33,000; Full time

Job summary

Micron Singapore is offering a full-time internship on the AI-Enabled CMP Equipment Health & Breakage Risk Prediction Dashboard. You will analyze historical data, build predictive analytics, and design interactive Power BI dashboards to monitor equipment health and risk indicators.

Gain exposure to CMP equipment, reliability engineering, and AI applications in a high-volume semiconductor environment. The role uses Python, SQL and Power BI, with opportunities for learning and growth.

Qualifications

• Pursuing a Degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Computer Engineering, Data Science or related discipline.
• Basic programming knowledge in Python/SQL; familiarity with Power BI.
• Understanding of statistics or ML concepts is desirable.
• Experience with large datasets and deriving meaningful insights.
• Strong analytical thinking and communication skills; eagerness to learn AI-enabled workflows.

Responsibilities

• Perform data exploration and predictive analytics for CMP equipment data.
• Develop AI-enabled dashboards to monitor equipment health and risk indicators.
• Create interactive Power BI visualizations of health, trends and breakage risk.
• Collaborate with engineers to understand real-world performance challenges.

Skills

Python

SQL

Power BI

Data analysis

ML concepts

Large datasets

Analytical thinking

Education

Engineering degree

Job description

Micron Singapore is offering a full-time internship on the AI-Enabled CMP Equipment Health & Breakage Risk Prediction Dashboard. You will analyze historical data, build predictive analytics, and design interactive Power BI dashboards to monitor equipment health and risk indicators.

Gain exposure to CMP equipment, reliability engineering, and AI applications in a high-volume semiconductor environment. The role uses Python, SQL and Power BI, with opportunities for learning and growth.