AI-Driven CPM Process Engineer Intern

Micron Technology; Singapore; On-site; SGD 20,000 - 31,000; Part time

Job summary

Micron Technology, Inc. in Singapore invites a 5-month full-time internship to work on AI-enabled Chemical Mechanical Planarization process optimization and equipment characterization.

You will analyze processes, metrology, and data, apply AI tools, and collaborate with cross-functional teams to deliver dashboards and recommendations. The project emphasizes process capability, data-driven decision making, and practical exposure to manufacturing excellence within a semiconductor environment, with

Qualifications

• Strong analytical and problem-solving abilities with data interpretation.
• Familiarity with statistical analysis, DOE, process capability, or data visualization.
• Basic knowledge of semiconductor manufacturing, materials science, or mechanical/equipment engineering.
• Familiarity with AI tools and AI-enabled analytical workflows.

Responsibilities

• Analyze CMP process, metrology, equipment, and manufacturing data to identify trends and opportunities.
• Apply statistical and AI-assisted methods to evaluate stability, capability, and performance.
• Develop an AI-enabled dashboard, analytics model, or automation tool to improve productivity or data access.
• Produce engineering recommendations for process optimization and equipment qualification.

Skills

Analytical skills

Statistical analysis

Data visualization

AI tools familiarity

Education

Pursuing degree in a relevant field

Tools

AI tools

Job description

Micron Technology, Inc. in Singapore invites a 5-month full-time internship to work on AI-enabled Chemical Mechanical Planarization process optimization and equipment characterization.

You will analyze processes, metrology, and data, apply AI tools, and collaborate with cross-functional teams to deliver dashboards and recommendations. The project emphasizes process capability, data-driven decision making, and practical exposure to manufacturing excellence within a semiconductor environment, with