Manufacturing Equipment Intern: AI-Driven Process Improvement

Micron Technology; Singapore; On-site; SGD 17,000 - 28,000; Full time

Job summary

Micron Technology Singapore offers a full-time internship across engineering functions to analyze manufacturing data and drive process improvements. You will work with Process, Equipment, Manufacturing, Quality, and Industrial Engineering teams to identify optimization opportunities and deliver data-driven solutions.

You will develop problem-solving and analytical skills while gaining exposure to high-volume semiconductor operations and AI-enabled digital manufacturing tools, collaborating with

Qualifications

• Pursuing an engineering degree with strong analytical ability.
• Familiarity with Excel, JMP, Minitab, Python, SQL, or Power BI.
• Interest in semiconductor manufacturing and AI-enabled tools.

Responsibilities

• Analyze engineering and manufacturing data to identify improvement opportunities.
• Support investigations, root cause analyses, and continuous improvement initiatives.
• Develop data-driven recommendations to enhance efficiency and performance.
• Collaborate with cross-functional teams to implement solutions.
• Leverage AI-enabled tools to improve workflows.

Skills

Analytical skills

Problem solving

Communication skills

Cross-functional teamwork

Excel

Python

SQL

Power BI

AI familiarity

Education

Mechanical Engineering

Electrical Engineering

Electronic Engineering

Chemical Engineering

Materials Science

Manufacturing Engineering

Industrial Engineering

Mechatronics Engineering

Tools

Excel

JMP

Minitab

Python

SQL

Power BI

Job description

Micron Technology Singapore offers a full-time internship across engineering functions to analyze manufacturing data and drive process improvements. You will work with Process, Equipment, Manufacturing, Quality, and Industrial Engineering teams to identify optimization opportunities and deliver data-driven solutions.

You will develop problem-solving and analytical skills while gaining exposure to high-volume semiconductor operations and AI-enabled digital manufacturing tools, collaborating with