Intern - Silicon Design Validation Engineer

Job Title

Intern - Silicon Design Validation Engineer

Role Summary

This is a full-time engineering internship in the Silicon Design Validation team in Singapore. The intern will develop practical skills in NAND silicon validation, Verilog simulation, measurement data collection, and engineering analysis while delivering a defined project under engineering guidance.

The project includes creating a customized validation plan for a selected NAND feature or circuit and developing Python- or AI-enabled workflows to improve validation data processing, anomaly detection, and report generation.

Experience Level

Internship / Entry-level. Targeted at students able to commit to a full-time 5-month internship (Jan–May 2027).

Responsibilities

Work on a supervised, project-based assignment to learn and apply silicon validation techniques and to prototype AI-enabled tooling.

• Study NAND flash operations and silicon validation roles.
• Perform Verilog-based simulations and interpret simulated circuit behavior.
• Develop a customized validation plan defining objectives, test conditions, data needs, and analysis criteria.
• Collect validation data using automated test equipment, oscilloscopes, and probe stations under guidance.
• Develop Python scripts or AI workflows for data processing, waveform anomaly detection, report generation, or workflow automation.
• Document results and present a final technical report summarizing methodology, results, and recommendations.

Requirements

Core technical skills and behaviors expected for successful completion of the internship.

Must-have:

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

Nice-to-have:

• Hands-on experience with automated test equipment, oscilloscopes, or probe stations.
• Previous exposure to AI/agentic workflows, anomaly detection algorithms, or automation pipelines.

Education Requirements

Pursuing a bachelor’s or master’s degree (or equivalent qualification) in Electrical Engineering, Electronic Engineering, Computer Engineering, Microelectronics, Semiconductor Engineering, or a related engineering discipline; equivalent practical experience also acceptable.

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.