AI-Driven CMP Process Optimization Intern

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 17,000 - 23,000; Full time

Job summary

Micron Technology, Inc. in Singapore is offering an AI-enabled internship focused on Chemical Mechanical Planarization process optimization and equipment characterization within a semiconductor environment.

You will analyze process data, apply AI and statistical methods, and develop dashboards or automation tools to improve yield, cost efficiency, and data visibility.

This 5-month full-time program runs Jan to May 2027 and may lead to full-time opportunities based on business needs.

Qualifications

• Strong analytical and problem-solving abilities with data interpretation.
• Familiarity with statistics, DoE, capability assessment, or data visualization.
• Basic knowledge of semiconductor manufacturing and related engineering fields.
• Experience with AI tools or machine learning is desirable.

Responsibilities

• Analyze CMP process, metrology, and manufacturing data to identify trends.
• Apply statistical and AI-assisted methods to assess process stability and capability.
• Develop a dashboard, analytics model, or automation tool to boost productivity.
• Provide engineering recommendations for process optimization and equipment characterization.

Skills

Analytical skills

Statistical analysis

Design of Experiments

Data visualization

AI tools & ML

Semiconductor basics

Education

Pursuing degree in Chemical Engineering / Materials Science / Mechanical Engineering / Electrical & Electronic Engineering / Data Science / Computer Science

Job description

Micron Technology, Inc. in Singapore is offering an AI-enabled internship focused on Chemical Mechanical Planarization process optimization and equipment characterization within a semiconductor environment.

You will analyze process data, apply AI and statistical methods, and develop dashboards or automation tools to improve yield, cost efficiency, and data visibility.

This 5-month full-time program runs Jan to May 2027 and may lead to full-time opportunities based on business needs.