NAND Process & Equipment Engineering Intern

Micron Technology, Inc.

Singapore

On-site

SGD 20,000 - 27,000

Full time

6 days ago
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Job summary

Micron Technology, Inc. is offering an internship in Singapore within the Process and Equipment Engineering (Diffusion) team. The project focuses on CMOS matching and wafer edge yield enhancement in advanced semiconductor manufacturing.

Interns will gain hands-on exposure to yield learning, inline process monitoring, defect characterization, and data-driven optimization. The role includes cross-functional collaboration, exposure to automation and AI-enabled engineering tools, and opportunities

Qualifications

  • Strong foundation in semiconductor process engineering or related disciplines.
  • Knowledge of statistical analysis and data analytics.
  • Basic programming experience in Python or MATLAB.
  • Familiarity with automation, data visualization, or AI-enabled workflows.

Responsibilities

  • Develop understanding of CMOS matching and wafer edge performance analysis.
  • Analyze manufacturing, metrology, inspection, and defect data to identify yield improvement opportunities.
  • Evaluate factors contributing to process variation and yield mismatches across manufacturing populations.
  • Apply data analytics, automation, and AI-enabled solutions to improve investigations and productivity.

Skills

Semiconductor process engineering
Data analytics
Python
MATLAB
Automation
AI-enabled engineering
Statistical analysis
Cross-functional collaboration

Education

Pursuing Chemical Engineering / Materials Engineering / Electrical Engineering / Semiconductor Engineering

Tools

Python
MATLAB
Automation tools
AI-enabled workflows

Job description

Micron Technology, Inc. is offering an internship in Singapore within the Process and Equipment Engineering (Diffusion) team. The project focuses on CMOS matching and wafer edge yield enhancement in advanced semiconductor manufacturing.

Interns will gain hands-on exposure to yield learning, inline process monitoring, defect characterization, and data-driven optimization. The role includes cross-functional collaboration, exposure to automation and AI-enabled engineering tools, and opportunities

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