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Location

Singapore

Department

Silicon Design Validation

Project Title

AI-Enabled NAND Silicon Design Validation and Report Automation

Project Description

This engineering internship provides the candidate with structured learning and practical exposure to silicon design validation for NAND flash memory products. The intern will learn NAND operations, circuit and feature validation principles, Verilog simulation, validation data collection, and engineering data analysis.

Through a defined project assignment, the intern will develop a customized validation plan for a selected NAND feature or design circuit. The intern will also explore the use of Python, Generative AI, Large Language Models, AI Assistants, and Agentic AI solutions to improve the efficiency and accuracy of validation data collection, anomaly detection, analysis, and report generation.

The project is developmental and project-based. Activities will be conducted under engineering guidance and within the approved project scope.

Objective of the Project

The objective is to develop the intern's understanding of NAND silicon design validation while creating an AI-Enabled solution that improves the efficiency, consistency, and accuracy of validation planning, data analysis, anomaly identification, or technical report generation.

Opportunities for Full Time Employment

Candidates who successfully complete the internship may be considered for future full-time employment opportunities based on organizational requirements, role availability, and individual suitability. Consideration for future employment does not constitute a guarantee of employment.

Project Scope

Study NAND flash memory operations and the roles and responsibilities involved in silicon design validation.
Perform Verilog-based simulations to understand the expected behavior of selected NAND circuits or product features.
Develop a customized validation plan that defines validation objectives, test conditions, data requirements, and analysis criteria for an assigned feature or circuit.
Learn to use automated test equipment, oscilloscopes, and probe stations to collect validation data under engineering guidance.
Develop Python scripts, Artificial Intelligence workflows, or Agentic AI solutions for data processing, report generation, waveform anomaly detection, or end-to-end validation workflow automation.

Learning Opportunities

Develop foundational knowledge of NAND operations, silicon design validation methodologies, and semiconductor measurement principles.
Gain practical exposure to Verilog simulation and the interpretation of simulated circuit behavior.
Learn appropriate methods for using automated test equipment, oscilloscopes, and probe stations within a controlled engineering project.
Build technical capabilities in Python scripting, data analysis, waveform interpretation, and engineering report generation.
Explore Generative AI, Large Language Models, AI Assistants, and Agentic AI workflows for semiconductor validation applications.

Deliverables

A documented summary demonstrating an understanding of NAND operations and the selected circuit or product feature.
Verilog simulation results and an explanation of the observed circuit behavior.
A customized validation plan and an analysis of the silicon validation data collected for the assigned project.
A Python-based or AI-Enabled solution for validation analysis, anomaly identification, workflow automation, or report generation.
A final technical report and presentation summarizing the methodology, results, learning outcomes, and recommendations.

Impact of the Project

Improve the consistency and traceability of silicon validation planning and documentation.
Enhance validation efficiency through Python-based analysis and AI-Enabled workflow automation.
Improve the identification of potential anomalies in validation data or waveforms.
Demonstrate practical applications of Generative AI and Agentic AI within an engineering validation workflow.

Skillsets Required

Foundational knowledge of digital electronics, semiconductor devices, circuit design, or computer architecture.
Familiarity with Verilog, circuit simulation, or electronic measurement equipment.
Programming knowledge in Python and an interest in engineering data analysis and visualization.
Strong analytical, problem-solving, technical documentation, and communication skills.
Interest in Artificial Intelligence, Generative AI, Large Language Models, AI Assistants, AI Agents, or Agentic AI workflows.

Course of Interest

The ideal candidate should be pursuing a master's/degree or equivalent qualification in Electrical Engineering, Electronic Engineering, Computer Engineering, Microelectronics, Semiconductor Engineering, or a related engineering discipline.

Duration of Period

The ideal candidate should be able to commit to a full time internship period of 5 months from Jan to May 2027.

About Micron Technology, Inc.

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 [HIDDEN TEXT]

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.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Intern- Silicon Design Validation Engineer