AI-Driven Planning Intern: Fab Space Optimization

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 20,000 - 29,000; Full time

Job summary

Micron Technology, Inc. offers a 6-month full-time internship focused onAgentic AI-enabled planning ecosystems for fab space and capacity optimization in Singapore.

You will explore multi-agent AI workflows, AI-enabled planning, and data-driven decision support within semiconductor manufacturing environments. The role emphasizes Python/Java programming, data analytics, optimization techniques, and strong analytical/problem-solving skills.

Qualifications

• Programming experience in Python, Java, or similar languages.
• Knowledge of data analytics, statistics, or optimization techniques.
• Familiarity with AI, Generative AI, LLMs, Agentic AI, or AI-enabled workflows.
• Understanding of operations research, industrial engineering, or manufacturing systems is advantageous.
• Strong analytical and problem-solving skills.
• Effective communication and presentation skills.
• Ability to work independently on a project-based learning assignment.

Responsibilities

• Study existing planning workflows and data inputs across the PLN domain.
• Develop proof-of-concept Agentic AI workflows for planning optimization.
• Evaluate coordination mechanisms between multiple specialized AI agents.
• Analyze planning trade-offs involving tool demand, factory layout constraints, material requirements, operational scenarios, and capital investment considerations.
• Explore AI-enabled approaches for generating planning recommendations and scenario-based decision support.
• Document findings, recommendations, and improvement opportunities.

Skills

Python

Java

Data analytics

AI/LLMs

Optimization

Analytical thinking

Communication

Education

CS/AI/Data Science

Job description

Micron Technology, Inc. offers a 6-month full-time internship focused onAgentic AI-enabled planning ecosystems for fab space and capacity optimization in Singapore.

You will explore multi-agent AI workflows, AI-enabled planning, and data-driven decision support within semiconductor manufacturing environments. The role emphasizes Python/Java programming, data analytics, optimization techniques, and strong analytical/problem-solving skills.