# Intern - PLN IE

[Micron Technology](https://www.jorb.ai/firms/micron-technology.md) · Singapore · [Research / Applied Science](https://www.jorb.ai/jobs/research-applied-science.md)

Micron Technology is hiring a Intern - PLN IE in Singapore. Posted 2026-08-18; applications close 2026-10-17.

**Apply**: https://careers.micron.com/careers/job/43847722

Posted 1d ago.

## Role details

## Project Title

Agentic AI–Driven Intelligent Planning Ecosystem for Fab Space and Capacity Optimization

## Project Description

This internship project focuses on the development of an Agentic AI-enabled planning ecosystem to enhance fab space utilization, tool placement planning, and decision-making across the Planning (PLN) domain. The intern will contribute to the design and evaluation of an intelligent multi-agent framework that supports planning optimization through data-driven analysis and Artificial Intelligence technologies.

The project will explore the use of Agentic AI architecture and Google SDK technologies to coordinate multiple specialized AI agents, including:

  
- Industrial Engineering (IE) Agent for tool demand forecasting and capacity planning
  
- Layout Agent for space allocation analysis and constraint evaluation
  
- Material and Spare Planning Agent for resource planning optimization
  
- Operations Modelling Agent for scenario simulation and planning insights
  
- Cost/Capex Agent for investment and cost optimization assessments

Through collaboration with planning stakeholders, the intern will gain exposure to AI-enabled planning methodologies, multi-agent reasoning frameworks, optimization techniques, and large-scale manufacturing planning challenges.

## Objective of the Project

The objective of this project is to evaluate how Agentic AI solutions can improve planning effectiveness by enabling coordinated decision-making across multiple planning domains. The project aims to identify opportunities to optimize fab capacity utilization, improve planning alignment, and enhance future-state scenario evaluation through intelligent agent collaboration.

## Project Scope

The intern will have opportunities to:

  
- 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.

## Learning Opportunities

The intern will gain hands-on experience in:

  
- Agentic AI and multi-agent system design
  
- Generative AI and Large Language Model (LLM) applications
  
- Manufacturing planning and capacity optimization methodologies
  
- Operations research and optimization techniques
  
- Data analytics and scenario modelling
  
- AI-enabled decision support systems
  
- Cross-functional collaboration within semiconductor manufacturing environments

## Deliverables

  
- Agentic AI planning ecosystem proof-of-concept or prototype
  
- Multi-agent workflow design documentation
  
- Planning optimization analysis and scenario evaluation results
  
- Recommendations for space utilization, tool placement, and planning improvements
  
- Final project presentation summarizing findings and future enhancement opportunities

## Impact of the Project

This project aims to demonstrate how Agentic AI technologies can contribute to improved planning effectiveness by enabling coordinated, data-driven decision-making across multiple planning functions. The outcomes may provide insights into space optimization opportunities, planning efficiency improvements, and scalable approaches for future intelligent planning ecosystems.

## Skillsets Required

  
- Programming experience in Python, Java, or similar languages
  
- Knowledge of data analytics, statistics, or optimization techniques
  
- Familiarity with Artificial Intelligence, 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

## Course of Interest

The ideal candidate should be pursuing Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, Operations Research, Manufacturing Engineering, Systems Engineering, or a related field of study.

## Duration of Period

The ideal candidate should be able to commit to a full-time internship period of 6 months.

## Opportunities for Full Time Employment

Successful completion of the internship may provide opportunities to be considered for future full-time roles, subject to business requirements, performance, and available openings.

## Applying to this role

This Intern - PLN IE role at Micron Technology runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

[Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=micron-technology&job=6a83dc1c9f4c7ff98288b97f)

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Updated: 2026-08-19
Canonical: https://www.jorb.ai/jobs/6a83dc1c9f4c7ff98288b97f