Intern - NAND Device Engineering AI

Job Title

Intern - NAND Device Engineering AI

Role Summary

Internship within the NAND Device Engineering group to apply AI and data-science techniques to accelerate device characterization and automate analysis for advanced 3D NAND memory development. The role focuses on building AI-assisted decision-support tools, intelligent automation workflows, scalable data pipelines, and visualizations to increase engineering efficiency.

Experience Level

Entry-level internship. Intended for students currently enrolled in undergraduate or graduate degree programs; semester-long availability preferred.

Responsibilities

Primary project and day-to-day responsibilities include:

• Design and implement AI-powered automation workflows for electrical characterization data extraction, analysis, reporting, and anomaly detection.
• Build decision-support tools that synthesize large device datasets into prioritized, actionable recommendations for device optimization and experiment planning.
• Develop task and project management automations to track prioritization, status reporting, and follow-ups across engineering workstreams.
• Apply machine learning (classification, regression, clustering), deep learning, and NLP techniques to automate pattern recognition, trend detection, and root-cause analysis.
• Create automated ETL pipelines for extraction, cleaning, feature engineering, and integration of characterization and metrology data.
• Develop interactive dashboards and auto-generated summary reports for technical and non-technical audiences.
• Explore and prototype LLM-based or agentic AI approaches for automating routine engineering workflows (report generation, meeting summarization, knowledge retrieval).
• Deliver a complete intern project package including code/notebooks, automation tools, documentation, and presentation-ready summaries.

Requirements

Must-have and preferred skills for successful candidates.

• Must-have: Strong proficiency in Python and experience building end-to-end data analysis or automation workflows.
• Must-have: Demonstrated experience or coursework in machine learning, deep learning, or AI applications using frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Preferred: Experience with automation and workflow orchestration tools (scripting pipelines, API integrations, Airflow, Power Automate, etc.).
• Preferred: Familiarity with LLMs, NLP, or agentic AI frameworks for building intelligent assistants or automated workflows.
• Preferred: Experience with SQL and data visualization/dashboard tools (Tableau, Power BI, Streamlit) for communicating results.
• Nice-to-have: Exposure to semiconductor device physics, NAND flash memory, or electrical characterization.
• Nice-to-have: Experience with cloud platforms (Azure, AWS, GCP) or big data tools (Spark, BigQuery).
• Ability to work independently with strong time-management and prioritization skills.

Education Requirements

Currently pursuing a Bachelor's, Master’s, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Statistics, Electrical Engineering, Physics, Mathematics, or a related field. Semester-long internship availability is preferred.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.