AI-Driven Layout Planning Intern for Semiconductor Manufacturing

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD

Singapore

On-site

SGD 13,000 - 20,000

Full time

3 days ago
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Job summary

Micron Technology Asia Operations Pte Ltd in Singapore seeks an intern for the Fab 10 Strategic Planning team to enable MSH probe ramp through AI-driven layout planning and process automation. The role focuses on evaluating planning workflows, developing AI-enabled solutions, and collaborating with Layout Engineering, Industrial Engineering, Production and stakeholders.

The project aims to improve efficiency, standardize planning, and reduce manual effort while applying responsible AI practices.

Qualifications

  • Pursuing a degree in engineering or a related field with focus on industrial systems.
  • Strong analytical, problem-solving, and systems-thinking abilities.
  • Proficiency in Excel and ability to communicate with stakeholders.
  • Interest in Generative AI, Microsoft Copilot, and AI-enabled workflows.

Responsibilities

  • Map existing planning processes and identify bottlenecks or repetitive activities.
  • Conduct site assessments for incoming tools and evaluate installation readiness.
  • Develop automation using Microsoft Copilot, Power Automate, Python, SQL, or data analytics tools.
  • Document the solution and prepare user guidance and handover materials.

Skills

Analytical skills
Problem-solving
Systems thinking
Excel proficiency
Stakeholder communication
Interest in Generative AI
Python
SQL
Power BI/Tableau

Education

Industrial & Systems Engineering

Tools

Power Automate
Python
SQL
Power BI
Tableau

Job description

Micron Technology Asia Operations Pte Ltd in Singapore seeks an intern for the Fab 10 Strategic Planning team to enable MSH probe ramp through AI-driven layout planning and process automation. The role focuses on evaluating planning workflows, developing AI-enabled solutions, and collaborating with Layout Engineering, Industrial Engineering, Production and stakeholders.

The project aims to improve efficiency, standardize planning, and reduce manual effort while applying responsible AI practices.

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