Semiconductor Engineering Internship: AI-Driven Manufacturing

Micron Technology; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites engineering interns to contribute to projects across Process, Equipment, Manufacturing, Yield, and Quality Engineering. The role offers exposure to high-volume semiconductor manufacturing and cross-functional collaboration.

Ideal candidates are pursuing Mechanical, Electrical, Electronic, Chemical, Materials, Manufacturing, Industrial, Mechatronics engineering, or related fields, and should be able to commit to at least four months.

Qualifications

• Pursuing engineering degree with interest in semiconductor manufacturing.
• Strong problem-solving and data analytics mindset.
• Willingness to work in cross-functional teams and learn rapidly.
• Familiarity with data tools like Excel, JMP, Minitab, Python, SQL, Power BI is advantageous.
• Interest in AI-enabled engineering and digital manufacturing trends.

Responsibilities

• Analyze engineering and manufacturing data to identify process improvements.
• Support investigations, root cause analyses, and continuous improvement initiatives.
• Develop data-driven recommendations to enhance yield, quality, and efficiency.
• Collaborate with cross-functional teams to evaluate and implement solutions.
• Possibly leverage AI-enabled tools and analytics to improve workflows.

Skills

Analytical skills

Communication skills

Independent work

Excel/JMP/Minitab

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, Inc. in Singapore invites engineering interns to contribute to projects across Process, Equipment, Manufacturing, Yield, and Quality Engineering. The role offers exposure to high-volume semiconductor manufacturing and cross-functional collaboration.

Ideal candidates are pursuing Mechanical, Electrical, Electronic, Chemical, Materials, Manufacturing, Industrial, Mechatronics engineering, or related fields, and should be able to commit to at least four months.