INTERNSHIP - NAND Cell Characterization & AI Tools
Pubblicato il 15-09-2026 - Micron Technology in Vimercate
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Join our dynamic and innovative NAND CELL Team at Micron's R&D; site in Vimercate, Italy. As a NAND Cell Characterization & AI Tools Intern, you will participate in progressive NAND memory technology development. This outstanding role offers you the opportunity to compose and create AI-enabled tools for automating the analysis and processing of micro-probing characterization waveforms. Your contributions will support Micron's NAND product roadmap.
Responsibilities:
- Collaborate with CELL engineers to understand micro-probing workflows and waveform semantics.
- Build and implement modular AI components for waveform ingestion, preprocessing, and feature extraction.
- Develop a structured comparison engine to perform 1:1 delta analysis against Micron internal reference waveforms.
- Generate detailed reports with structured, human-readable summaries for engineer review.
- Implement an engineer-in-the-loop (HITL) validation interface to ensure human confirmation at critical decision points.
- Validate the robustness of tools through test cases and iterative engineering feedback.
- Document all modules, assumptions, and usage guidelines to ensure maintainability.
- Ensure all tasks conform to Micron's Code of Business Conduct and relevant intellectual property guidelines.
- Leverage on Atificial intelligence to optimize the workflow
Minimum Qualifications:
- Currently pursuing a degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
- Understanding of AI/ML fundamentals including LLMs and embeddings.
- Proficient in programming languages such as Python and/or C/C++.
- Basic knowledge of signal processing and time-domain waveform concept