Our vision is to transform how the world uses information to enrich life for all.Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.Project TitleAgentic AI–Driven Intelligent Planning Ecosystem for Fab Space and Capacity Optimization Project DescriptionThis 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 have the opportunity to 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 planningLayout Agent for space allocation analysis and constraint evaluationMaterial and Spare Planning Agent for resource planning optimizationOperations Modelling Agent for scenario simulation and planning insightsCost/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 ProjectThe 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. Opportunities for Full Time EmploymentSuccessful completion of the internship may provide opportunities to be considered for future full-time roles, subject to business requirements, performance, and available openings. Project ScopeThe 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 OpportunitiesThe intern will gain hands-on experience in:Agentic AI and multi-agent system designGenerative AI and Large Language Model (LLM) applicationsManufacturing planning and capacity optimization methodologiesOperations research and optimization techniquesData analytics and scenario modellingAI-enabled decision support systemsCross-functional collaboration within semiconductor manufacturing environments DeliverablesAgentic AI planning ecosystem proof-of-concept or prototypeMulti-agent workflow design documentationPlanning optimization analysis and scenario evaluation resultsRecommendations for space utilization, tool placement, and planning improvementsFinal project presentation summarizing findings and future enhancement opportunities Impact of the ProjectThis 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 RequiredProgramming experience in Python, Java, or similar languagesKnowledge of data analytics, statistics, or optimization techniquesFamiliarity with Artificial Intelligence, Generative AI, LLMs, Agentic AI, or AI-enabled workflowsUnderstanding of operations research, industrial engineering, or manufacturing systems is advantageousStrong analytical and problem-solving skillsEffective communication and presentation skillsAbility to work independently on a project-based learning assignment Course of InterestThe 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 PeriodThe ideal candidate should be able to commit to a full time internship period of 6 months.About Micron Technology, Inc.We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.To learn more, please visit micron.com/careersAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.comMicron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.