AI-Driven Dry Etch Intern: Data Analytics & Optimization

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD

Singapore

On-site

SGD 13,000 - 20,000

Full time

7 days ago
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Job summary

Micron Technology, Inc. in Singapore is seeking an intern to analyze dry etch processes and equipment performance using manufacturing data.

You will identify variation sources, evaluate improvements, and develop data-driven recommendations for stability and yield, while collaborating with process and equipment engineers. The role provides exposure to process characterization, statistics, and AI-enabled analysis using Python/SQL/JMP/Excel, with practical dashboards and reports to support

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 similar data-analysis tools.
  • Familiarity with statistical analysis and data visualization concepts.
  • Willingness to learn and apply AI-enabled workflows to engineering analysis.

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 faster pattern identification and engineering insight generation.

Skills

Analytical thinking
Semiconductor interest
Python/SQL/JMP/Excel
Statistics & data visualization
Willingness to learn AI

Education

Degree in Chemical/Electrical/Mechanical/Data Engineering or related

Tools

Python
SQL
JMP
Excel

Job description

Micron Technology, Inc. in Singapore is seeking an intern to analyze dry etch processes and equipment performance using manufacturing data.

You will identify variation sources, evaluate improvements, and develop data-driven recommendations for stability and yield, while collaborating with process and equipment engineers. The role provides exposure to process characterization, statistics, and AI-enabled analysis using Python/SQL/JMP/Excel, with practical dashboards and reports to support

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