Process Engineer – AI-Driven Yield & Defect Reduction

Micron Technology, Inc.; Singapore; Hybrid; SGD 55,000 - 75,000; Full time

Job summary

Micron Technology, Inc. is seeking an Engineer in MRDA Singapore to apply analytics for yield and quality improvements. You will design experiments, develop measurement recipes, and collaborate across engineering teams to implement innovative defectivity solutions.

The role emphasizes AI-assisted insights, tool maintenance, and proactive process optimization in a fast-paced semiconductor environment. A degree in engineering or science and strong communication skills are essential.

Qualifications

• Bachelor’s or advanced degree in Engineering or Science is required.
• Strong analytical, logical, and critical thinking skills.
• Effective communicator with collaboration across levels.
• Growth mindset and willingness to learn continuously.
• Internship or semiconductor experience is a plus.

Responsibilities

• Solve problems with yield or quality impact through measurement recipes.
• Apply analytics to identify deviations in machinery and processes.
• Design experiments to identify defect sources and improvements.
• Collaborate across departments to implement breakthrough solutions.
• Set up SPC charts, control limits, and sampling for proactive intervention.
• Support tool maintenance scheduling and optimization.
• Develop projects to enhance inline detection and reduce costs.
• Integrate AI-enabled insights into daily work and maintain standards.

Skills

Analytical thinking

Communication

Collaboration

Leadership

Adaptability

AI literacy

Education

Engineering or Science degree

Tools

AI tools

Job description

Micron Technology, Inc. is seeking an Engineer in MRDA Singapore to apply analytics for yield and quality improvements. You will design experiments, develop measurement recipes, and collaborate across engineering teams to implement innovative defectivity solutions.

The role emphasizes AI-assisted insights, tool maintenance, and proactive process optimization in a fast-paced semiconductor environment. A degree in engineering or science and strong communication skills are essential.