AI-Enabled Semiconductor Process Engineer

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a data analytics engineer to identify and address yield and quality deviations in semiconductor manufacturing.

You will design experiments, apply AI-assisted insights, and implement rapid feedback loops to improve product integrity across multiple tools and processes. The role requires strong analytical skills, collaboration across departments, and the ability to work with advanced inspection tools.

Qualifications

• Bachelor’s or advanced degree in Engineering or Science is required.
• Strong analytical, logical, and critical thinking skills.
• Demonstrated leadership and a track record of impact are highly desirable.

Responsibilities

• Work proactively to solve problems with yield or quality impact on our products through development of measurement recipes that can provide quick and accurate feedback on the product integrity.
• Apply advanced analytics techniques to identify and address deviations in machinery and processes.
• Engage in designing experiments to identify defect sources and formation mechanisms, providing insights for defectivity improvement projects.
• Collaborate with engineers from diverse departments to contribute ideas and assist in implementing breakthrough solutions for defectivity improvement.
• Apply the latest innovative inspection tools for defect detection, contributing to advancements in semiconductor manufacturing.
• Set up tool qualification criteria and implement monitoring through SPC charts.
• Set appropriate control chart limits and utilize sampling for proactive intervention against deviations.
• Collaborate with Engineering Operations and/or Application teams to optimize tool maintenance schedules and utilization.
• Contribute to strategic projects aimed at minimizing products at risk and improving overall product quality.
• Develop and run projects crafted to enhance inline detection, improve efficiency, reduce cost, reduce tool measurement variability and improve machine availability.

Skills

Data analysis

Statistical thinking

Cross-functional collaboration

AI literacy

Education

Bachelor’s degree in Engineering or Science

Job description

Micron Technology, Inc. in Singapore is seeking a data analytics engineer to identify and address yield and quality deviations in semiconductor manufacturing.

You will design experiments, apply AI-assisted insights, and implement rapid feedback loops to improve product integrity across multiple tools and processes. The role requires strong analytical skills, collaboration across departments, and the ability to work with advanced inspection tools.