AI-Driven Planning Intern: Layout Optimization & Automation

Micron Technology

Singapore

On-site

SGD 13,000 - 18,000

Full time

14 days+
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Job summary

Micron Technology, Inc. invites motivated interns to support the Enabling MSH Probe Ramp through AI-driven layout planning and process automation.

The role focuses on optimizing layout planning for the MSH probe ramp with guidance from engineers and collaboration across Layout Engineering, Industrial Engineering, Production, and other stakeholders. Ideal candidates are pursuing degrees in Industrial and Systems Engineering, Computer Engineering, Data Science, Business Analytics, Mechanical or

Qualifications

  • Strong analytical, problem-solving, and systems-thinking abilities.
  • Proficiency in Microsoft Excel and effective stakeholder communication.
  • Interest in Generative AI, Microsoft Copilot, and AI-enabled workflows.

Responsibilities

  • Assist AI-enabled layout planning developments and automation.
  • Evaluate planning workflows and map existing processes.
  • Conduct site assessments for incoming tools and installation readiness.
  • Develop automation using Copilot, Power Automate, Python, SQL, and data analytics tools.
  • Document solutions and prepare user guidance and handover materials.

Skills

Analytical thinking
Problem-solving
Systems thinking
Stakeholder communication
Generative AI interest
AI-enabled workflows

Education

Industrial Systems Eng
Computer Engineering
Data Science
Business Analytics
Mechanical Engineering
Electrical Engineering

Tools

Excel
Power Automate
SQL
Python
Power BI
Tableau

Job description

Micron Technology, Inc. invites motivated interns to support the Enabling MSH Probe Ramp through AI-driven layout planning and process automation.

The role focuses on optimizing layout planning for the MSH probe ramp with guidance from engineers and collaboration across Layout Engineering, Industrial Engineering, Production, and other stakeholders. Ideal candidates are pursuing degrees in Industrial and Systems Engineering, Computer Engineering, Data Science, Business Analytics, Mechanical or

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