Semiconductor Process Data Intern — AI-Driven Etch Analysis

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Micron Technology, Inc. is offering a full‑time internship focused on cumulative error variation reduction in staircase and chop etch processes.

The role involves analyzing process data, applying statistical methods, and developing data‑driven control strategies to improve inline stability. Ideal candidates are pursuing engineering degrees (Materials, Chemical, Electrical, Mechanical) with interest in semiconductor manufacturing, data visualization, and ML/AI workflows.

Qualifications

• Follows a degree program in Materials Science or related engineering field.
• Interest in semiconductor manufacturing and dry etch processes.
• Familiarity with statistical analysis and data visualization.
• Aware of ML/AI tools or workflows is a plus.
• Experience with data analysis tools is advantageous.

Responsibilities

• Analyze manufacturing and measurement data to identify sources of cumulative error variation.
• Develop data-driven control strategies to reduce variation and improve inline process stability.
• Prepare data visualizations and reports summarizing key findings and relationships.
• Propose potential control strategies or process improvements for staircase and etch processes.

Skills

Analytical skills

Semiconductor domain interest

Statistics & data visualization

Machine learning / AI basics

Python / R / SQL / JMP

Education

Engineering student (Materials/Chemical/Electrical/Mechanical)

Tools

Python

R

SQL

JMP

Job description

Micron Technology, Inc. is offering a full‑time internship focused on cumulative error variation reduction in staircase and chop etch processes.

The role involves analyzing process data, applying statistical methods, and developing data‑driven control strategies to improve inline stability. Ideal candidates are pursuing engineering degrees (Materials, Chemical, Electrical, Mechanical) with interest in semiconductor manufacturing, data visualization, and ML/AI workflows.