AI-Driven Silicon Validation Intern

Micron Technology, Inc.; Singapore; On-site; SGD 22,000 - 36,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks an Intern- Silicon Design Validation Engineer to learn NAND operations and silicon validation methodologies.

You will perform Verilog simulations, develop a validation plan, and explore Python-based data processing and AI workflows to improve validation efficiency and reporting. The internship emphasizes hands-on learning, use of automated test equipment, and development of AI-enabled solutions for validation data analysis and report generation.

Qualifications

• Pursuing a master's/degree in Electrical Engineering, Electronic Engineering, Computer Engineering, Microelectronics, or related field.
• Familiarity with Verilog, circuit simulation, and electronic measurement equipment.
• Programming knowledge in Python and interest in data analysis and visualization.
• Strong analytical, problem-solving, documentation, and communication skills.

Responsibilities

• Study NAND flash operations and silicon design validation.
• Perform Verilog-based simulations to validate NAND features.
• Develop a customized validation plan with objectives, tests, data needs, and analysis criteria.
• Develop Python scripts or AI workflows for data processing, anomaly detection, or validation automation.
• Deliver a final technical report and presentation detailing methodology, results, and lessons learned.

Skills

Verilog

Python

Electronic measurement equipment

Circuit analysis

Education

Master's degree or equivalent in Electrical/Electronic/Computer Engineering or related

Tools

Oscilloscopes

Probe stations

Automated test equipment

Job description

Micron Technology, Inc. in Singapore seeks an Intern- Silicon Design Validation Engineer to learn NAND operations and silicon validation methodologies.

You will perform Verilog simulations, develop a validation plan, and explore Python-based data processing and AI workflows to improve validation efficiency and reporting. The internship emphasizes hands-on learning, use of automated test equipment, and development of AI-enabled solutions for validation data analysis and report generation.