AI-Enabled CMP Process Engineering Intern

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 20,000 - 27,000; Full time

Benefits offered by this job

Potential full-time opportunities

5-month internship (Jan–May 2027)

Job summary

Micron Technology, Inc. in Singapore invites an intern for an AI-enabled Chemical Mechanical Planarization (CMP) process optimization and equipment characterization within a semiconductor manufacturing environment.

You will analyze CMP processes, metrology, and data, applying statistics and AI methods to improve stability, yield, and data accessibility. You will collaborate with cross-functional engineering teams, develop an AI-enabled dashboard or analytics tool, and produce a technical report

Qualifications

• Strong analytical and problem-solving skills with ability to interpret experimental data.
• Familiarity with statistical analysis, experimental design, and data visualization.
• Knowledge of semiconductor manufacturing or related engineering fields is a plus.

Responsibilities

• Analyze CPM process, metrology, and manufacturing data to identify trends and improvement opportunities.
• Develop and evaluate AI-enabled dashboards, analytics models, or automation tools.
• Collaborate with cross-functional engineering teams to deliver actionable engineering recommendations.

Skills

Analytical thinking

Problem-solving

Statistical analysis

Data interpretation

AI/ML familiarity

Cross-functional teamwork

Education

Bachelor's degree in Chemical Engineering, Materials Science and Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Data Science, Computer Science or related field

Tools

AI tools

Machine Learning

Data visualization

Job description

Micron Technology, Inc. in Singapore invites an intern for an AI-enabled Chemical Mechanical Planarization (CMP) process optimization and equipment characterization within a semiconductor manufacturing environment.

You will analyze CMP processes, metrology, and data, applying statistics and AI methods to improve stability, yield, and data accessibility. You will collaborate with cross-functional engineering teams, develop an AI-enabled dashboard or analytics tool, and produce a technical report