Intern - NAND Device Engineering AI
Core
Develop AI-enabled workflows and platforms to automate device characterization, analyze large-scale semiconductor datasets, and generate engineering insights for advanced 3D NAND technologies.
Role type
AI/Data Science Intern (Semiconductor Engineering)
Builds
AI-Enabled device characterization automation workflows, intelligent engineering dashboards, and automated reporting frameworks.
Domain
Semiconductor manufacturing / 3D NAND technology / Data Science
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python programming, machine learning, deep learning, data science, statistical modeling, data processing (Pandas, NumPy), framework development (TensorFlow, Pytorch, LangChain), data visualization, database technologies.
Preferred skills
Experience with Generative AI, Large Language Models (LLMs), Agentic AI solutions, workflow automation platforms.
Technologies
Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain
Responsibilities
Design and develop AI workflows for data collection, analysis, anomaly detection, and reporting; Apply ML techniques to identify performance trends and classify device behaviors; Create interactive dashboards and AI Assistant capabilities; Evaluate Generative AI and LLM applications for engineering automation.
Seniority
Intern