AI Planning Intern: Multi-Agent Optimization (6 Months)

Micron Technology; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites ambitious students to join a 6-month full-time internship focused on Agentic AI-enabled planning ecosystems for fab space and capacity optimization.

You will design and evaluate multi-agent workflows, leveraging data-driven analysis and AI technologies to improve planning efficiency. The role offers exposure to industrial engineering concepts, AI-enabled decision support, and collaboration with planning stakeholders in a semiconductor manufacturing

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 is preferred.
• Understanding of operations research or manufacturing systems is advantageous.
• Strong analytical and problem-solving skills are required.
• Effective communication and presentation skills are important.
• Ability to work independently on a project-based assignment.

Responsibilities

• 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, layout constraints, materials, and 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

Operations research

Analytical thinking

Communication

Independent work

Education

Pursuing CS/AI/Data Science/Industrial Eng/OR/Manufacturing Eng

Job description

Micron Technology, Inc. in Singapore invites ambitious students to join a 6-month full-time internship focused on Agentic AI-enabled planning ecosystems for fab space and capacity optimization.

You will design and evaluate multi-agent workflows, leveraging data-driven analysis and AI technologies to improve planning efficiency. The role offers exposure to industrial engineering concepts, AI-enabled decision support, and collaboration with planning stakeholders in a semiconductor manufacturing