Intern - NAND Device Engineering AI
Core
Apply AI and data science to automate device characterization, decision-making, and project management for advanced 3D NAND technologies.
Role type
AI / Data Science Intern
Builds
Intelligent automation workflows, AI-assisted decision-support systems, and scalable data pipelines for engineering teams.
Domain
Semiconductor manufacturing (3D NAND memory) and Artificial Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, machine learning, deep learning, data analysis, automation workflows, SQL, data visualization
Preferred skills
LLMs, NLP, agentic AI, workflow orchestration, cloud platforms, big data tools, semiconductor device physics
Technologies
Python, scikit-learn, TensorFlow, Pytorch, LangChain, Airflow, Power Automate, Azure, AWS, GCP, Spark, BigQuery, Tableau, Power BI, Streamlit
Responsibilities
Design AI-powered automation for electrical characterization of 3D NAND memory cells; Build decision-support tools for device optimization and risk assessment; Develop AI-driven task and project management solutions; Apply ML techniques for pattern recognition and root-cause analysis; Create automated data pipelines for data extraction and feature engineering; Build interactive visualizations and auto-generated reports; Implement LLM-based approaches for automating engineering workflows.
Seniority
Intern
