Semiconductor Process Intern: Thermal Optimization & AI

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 17,000 - 26,000; Full time

Benefits offered by this job

Mentorship by engineers

Opportunity for full-time employment

AI-enabled analytics exposure

Job summary

Micron Technology, Inc. invites applications for a full-time internship in Process Engineering focused on wafer thermal management and plasma strip optimization at our Singapore site.

You will conduct DOE studies, analyze thermal behavior, and develop data-driven recommendations to improve yield, productivity, and cost performance under the guidance of senior engineers. The program offers exposure to AI-enabled data exploration, visualization, and predictive analytics, with potential

Qualifications

• Pursuing a bachelor’s or master’s degree in chemical engineering, materials science, mechanical, electrical engineering or physics.
• Commit to a full-time internship of at least four months.
• Interest in semiconductor manufacturing and data-driven decision making.
• Familiarity with Excel; exposure to Python/JMP/Minitab/Power BI is advantageous.

Responsibilities

• Plan and conduct Design of Experiments studies to identify temperature relationships.
• Analyze wafer thermal data and relate chuck temperature to process performance.
• Develop data-based optimization recommendations to improve yield and productivity.
• Prepare technical reports and a final presentation of findings.

Skills

Strong analytical skills

Design of Experiments

Statistical analysis

Data visualization

Communication

Education

Bachelor's or Master's degree in Chemical Eng / Materials Science / Mechanical Eng / Electrical Eng / Physics

Tools

Excel

Python

JMP

Minitab

Power BI

Job description

Micron Technology, Inc. invites applications for a full-time internship in Process Engineering focused on wafer thermal management and plasma strip optimization at our Singapore site.

You will conduct DOE studies, analyze thermal behavior, and develop data-driven recommendations to improve yield, productivity, and cost performance under the guidance of senior engineers. The program offers exposure to AI-enabled data exploration, visualization, and predictive analytics, with potential