AI-Enabled Test Solutions Intern (Semiconductors)

Micron Technology; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites an intern to join the Test Solutions Engineering team for the AI-enabled test process optimization and technology qualification project.

You will learn about backend test equipment, data analysis, and process-performance evaluation within a semiconductor manufacturing setting. The program emphasizes structured problem solving, risk assessment, and collaboration across functions, with a focus on AI-driven improvements and technology transfer

Qualifications

• Fundamental knowledge of electrical, electronics, mechanical, or manufacturing engineering.
• Strong analytical, structured problem-solving, and decision-making abilities.
• Familiarity with statistical analysis, data visualization, programming, or engineering analysis tools.
• Interest in semiconductor backend test processes, equipment, and communication protocols.
• Familiarity with Generative AI, Large Language Models, AI Assistants, or AI-Enabled workflows.

Responsibilities

• Study backend test-process and equipment requirements.
• Analyze equipment and process indicators to identify gaps.
• Apply structured problem-solving, risk assessment, and FMEA techniques.
• Explore AI-enabled methods for trend identification and reporting.

Skills

Electrical Engineering

Analytical thinking

Data visualization

Programming familiarity

AI/ML awareness

Education

Pursuing engineering degree

Tools

Statistical analysis tools

Data visualization tools

Programming tools

Job description

Micron Technology, Inc. in Singapore invites an intern to join the Test Solutions Engineering team for the AI-enabled test process optimization and technology qualification project.

You will learn about backend test equipment, data analysis, and process-performance evaluation within a semiconductor manufacturing setting. The program emphasizes structured problem solving, risk assessment, and collaboration across functions, with a focus on AI-driven improvements and technology transfer