AI-Driven Dry Etch Intern: Data Analytics & Optimization

Micron Technology, Inc

Singapore

On-site

SGD 13,000 - 20,000

Full time

8 days ago
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Job summary

Micron Technology, Inc. in Singapore invites interns to join the Advanced Device Technology and Systems team for the F10 ADTS Dry Etch project.

You will analyze process data, identify performance gaps, and propose data-driven improvements to enhance stability and yield. The role offers exposure to Python, SQL, JMP, Excel, and data-visualization tools while learning AI-enabled methods for faster pattern identification in a manufacturing setting.

Qualifications

  • Strong analytical thinking and structured problem-solving skills.
  • Interest in semiconductor manufacturing, dry etch technology, or process engineering.
  • Basic experience with Python, SQL, JMP, Excel, or visualization tools.

Responsibilities

  • Analyze dry etch process and equipment performance using manufacturing data.
  • Identify sources of process variation, performance drift, productivity loss, and yield impact.
  • Develop data-driven recommendations for improving process stability and equipment performance.
  • Explore AI-enabled approaches for pattern recognition and engineering insight generation.

Skills

Analytical thinking
Structured problem-solving
Data visualization
Python basics
SQL basics

Education

Pursuing a degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Materials Engineering, Data Engineering, Computer Engineering or related field

Tools

Python
Structured Query Language
JMP
Excel
Visualization tools

Job description

Micron Technology, Inc. in Singapore invites interns to join the Advanced Device Technology and Systems team for the F10 ADTS Dry Etch project.

You will analyze process data, identify performance gaps, and propose data-driven improvements to enhance stability and yield. The role offers exposure to Python, SQL, JMP, Excel, and data-visualization tools while learning AI-enabled methods for faster pattern identification in a manufacturing setting.

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