Intern - Engineering Program Management

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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.
Location: F10A
Project Title: Engineering Program Management & AI-Enabled Process Improvement
Project Description: This project provides an opportunity to gain experience in engineering program management within the HBM organization, gain exposure to the planning and execution of complex semiconductor development programs. Through this experience, the intern will develop an understanding of engineering workflows, program challenges, and execution needs, and apply AI, automation, and data analytics to identify opportunities for efficiency improvement and develop practical solutions.
Project Scope

• Involvement in program schedules, milestones, dependencies, risks, and action items.
• Collaborate with cross-functional engineering teams to understand program priorities, execution challenges, and key deliverables.
• Consolidate engineering information into clear, actionable program insights and program reporting and reviews.
• Identify repetitive, manual, or inefficient workflows through hands-on exposure to engineering program execution.
• Explore how AI, automation, and data analytics can enhance these workflows and improve overall efficiency.
• Develop and prototype AI-enabled tools, dashboards, or automation solutions to improve data consolidation, reporting, information retrieval, risk/action tracking, and program visibility.
• Gather user feedback and continuously refine solutions based on real program-management needs.

Learning Opportunities
The intern will gain hands-on exposure to:

• Engineering program planning and execution.
• High Bandwidth Memory (HBM) and semiconductor product development.
• Program schedule, milestone, dependency, risk, and action management.
• Cross-functional collaboration and stakeholder management.
• Translating complex engineering information into actionable insights.
• Identifying workflow and process-improvement opportunities.
• Applying Generative AI, automation, and data analytics to real engineering program-management challenges.
• Presenting program insights, solutions, and recommendations to stakeholders.

Deliverables

• Key engineering program milestones, tracking, and reporting.
• Assessment of existing program-management workflows and identification of efficiency improvement opportunities.
• Prototype or implementation of selected AI/automation solutions based on identified needs.
• Improved dashboards, reporting, information management, or program-management workflows.
• Documentation of solutions, benefits, learnings, and recommendations.
• Final project presentation showcasing the program challenge, improvement opportunity, solution, results, and future recommendations.

Impact of Project
The project aims to strengthen engineering program execution by improving visibility, coordination, and management of key program activities. By applying AI, automation, and data analytics to opportunities identified through actual program-management experience, the project will also help reduce manual effort, streamline workflows, and enable faster, data-driven decision-making.
Skillsets Required

• Strong analytical, organizational, and problem-solving skills.
• Interest in engineering program management and semiconductor technology.
• Ability to organize complex information and translate it into clear, actionable insights.
• Good communication, collaboration, and presentation skills.
• Curious mindset with an interest in identifying and solving process inefficiencies.
• Interest in AI, Generative AI, automation, and data analytics.
• Experience or interest in Python, Power BI, Power Automate, GenAI tools, or similar technologies is advantageous.
• Semiconductor experience is not required.

Course of Interest
The ideal candidate should be pursuing a Bachelor's or Master's degree in:

• Engineering Management
• Industrial & Systems Engineering
• Electrical / Electronic Engineering
• Computer Engineering
• Computer Science
• Information Systems
• Data Science / Data Analytics
• Artificial Intelligence / Machine Learning
• Other related Engineering or Technology disciplines

Duration The ideal candidate should be able to commit to a full-time internship period of 3 to 5 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/careers
All 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 [email protected]
Micron 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.
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