CMOS Yield & Wafer Edge Engineer - Intern

Micron

Singapore

On-site

SGD 20,000 - 27,000

Full time

7 days ago
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Job summary

Micron Technology, Inc. invites engineering students to join our Singapore team for a full‑time internship in Process and Equipment Engineering.

You will work on CMOS matching analysis, wafer edge performance, and yield optimization, gaining hands‑on experience with inline process monitoring, data analytics, and AI‑enabled tooling. You will collaborate with cross‑functional engineers, study manufacturing science, and contribute to automation and visualization projects that accelerate learning

Qualifications

  • Pursuing engineering degree related to semiconductor fields
  • Strong foundation in statistics and data analytics
  • Experience with Python or MATLAB in coursework
  • Interest in AI-enabled engineering workflows
  • Ability to collaborate across cross-functional teams

Responsibilities

  • Assist CMOS matching analysis and wafer edge yield enhancement
  • Analyze manufacturing, metrology, inspection, and defect data to identify yield improvements
  • Evaluate factors contributing to process variation and yield mismatches
  • Apply data analytics, automation, and AI-enabled solutions to improve investigations and productivity
  • Generate engineering recommendations to improve wafer edge performance and learning

Skills

Semiconductor process engineering
Statistics
Data analytics
Python programming
MATLAB
Automation and AI tools
Cross-functional collaboration
Communication skills

Education

Pursuing Engineering degree (Chemical/Materials/Electrical/Semiconductor)

Tools

Python
MATLAB
Data visualization tools (e.g., Tableau/Power BI)

Job description

Micron Technology, Inc. invites engineering students to join our Singapore team for a full‑time internship in Process and Equipment Engineering.

You will work on CMOS matching analysis, wafer edge performance, and yield optimization, gaining hands‑on experience with inline process monitoring, data analytics, and AI‑enabled tooling. You will collaborate with cross‑functional engineers, study manufacturing science, and contribute to automation and visualization projects that accelerate learning

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