Intern - NAND Device Engineering AI

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.

• Design and develop AI-Enabled workflows for automating device characterization data collection, analysis, anomaly detection, and reporting across multiple electrical characterization datasets.

• Apply machine learning, statistical modeling, and Agentic AI techniques to identify performance trends, classify device behaviors, and generate engineering insights from large-scale datasets.

• Develop automated data pipelines for data extraction, cleansing, feature engineering, and integration from characterization and metrology sources.

• Create interactive dashboards, visualization tools, and AI Assistant capabilities that enable engineers to explore data, retrieve knowledge, and generate summary reports more efficiently.

• Evaluate the application of Generative AI, Large Language Models (LLMs), and Agentic Solutions for engineering workflow automation, project tracking, technical knowledge retrieval, and intelligent report generation.
   

• Gain practical experience applying Artificial Intelligence and machine learning techniques to semiconductor engineering challenges.

• Learn how large-scale device characterization data is used to evaluate performance, variability, and technology development objectives.

• Develop expertise in data engineering, analytics, visualization, and AI-enabled decision-support systems.

• Explore modern Generative AI, LLM, and Agentic AI frameworks for engineering and technical applications.

• Collaborate with cross-functional engineering teams to understand technology development processes and data-driven engineering methodologies.
   

• AI-Enabled device characterization automation workflow.

• Intelligent engineering dashboard with data visualization and insight generation capabilities.

• Machine learning or Agentic AI model demonstrating automated pattern recognition and data interpretation.

• Automated reporting framework for engineering summary generation and knowledge sharing.

• Final project presentation, technical documentation, and reusable software assets.
   

• Improve engineering efficiency through automation of repetitive data processing activities.

• Accelerate analysis of characterization results and identification of meaningful device trends.

• Demonstrate the value of Artificial Intelligence and Agentic AI technologies within semiconductor engineering workflows.

• Enhance accessibility of engineering knowledge through intelligent data exploration and reporting tools.

• Establish scalable foundations for future AI-Enabled engineering productivity solutions.
   

• Strong programming proficiency in Python and experience developing data analysis, automation, or software solutions.

• Knowledge of machine learning, deep learning, data science, or Artificial Intelligence concepts through coursework, projects, or research activities.

• Familiarity with data processing libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain, or similar technologies.

• Exposure to data visualization, dashboard development, database technologies, or workflow automation platforms is desirable.

• Strong analytical thinking, problem-solving capability, communication skills, self-motivation, and interest in AI-Enabled engineering solutions.
   

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 hrsupport_sg@micron.com

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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