Semiconductor Process Engineer: AI-Driven Defect & Yield

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a data analytics-focused engineer to drive defectivity improvement and process optimization in semiconductor manufacturing.

You will design experiments, develop measurement recipes, and apply AI-enabled tools to deliver actionable insights across cross-functional teams. Ideal candidates hold a engineering or science degree, possess strong analytical and communication skills, and can adapt to a flexible schedule to support 24/7 operations and

Qualifications

• Bachelor’s or advanced degree in Engineering or Science is required.
• Strong analytical, logical, and critical thinking skills.
• Effective communicator, able to collaborate across all levels.
• Growth mindset with a passion for continuous learning.
• Internship or experience in the semiconductor industry is a plus.
• Demonstrated leadership and a track record of impact are highly desirable.
• Interest in and knowledge of the semiconductor industry and Micron is preferred.
• Capable of working on a flexible schedule (e.g. compress shift).
• Candidates with relevant experience is preferred.
• Ability to apply baseline digital fluency and AI literacy to use AI-enabled tools responsibly and effectively.

Responsibilities

• Work proactively to solve problems with yield or quality impact on our products through measurement recipes that provide quick feedback on 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 effective sampling for proactive intervention against machinery and process deviations.
• Implement sampling methodologies to proactively detect and address deviations, ensuring efficient root cause identification.
• 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.
• Partner with tool suppliers and owners to explore innovative ways of overcoming shrinking technology nodes.
• Support Fab through data analysis, providing summations and recommendations for process changes, equipment availability improvements and cost reductions.
• Ensure engineering team is trained on recipe maintenance, tool recovery, troubleshooting, and maintenance activities for assigned tools.
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with standards.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Skills

Analytical thinking

Logical thinking

Critical thinking

Effective communicator

Growth mindset

AI literacy

Education

Bachelor’s or advanced degree in Engineering or Science

Job description

Micron Technology, Inc. in Singapore is seeking a data analytics-focused engineer to drive defectivity improvement and process optimization in semiconductor manufacturing.

You will design experiments, develop measurement recipes, and apply AI-enabled tools to deliver actionable insights across cross-functional teams. Ideal candidates hold a engineering or science degree, possess strong analytical and communication skills, and can adapt to a flexible schedule to support 24/7 operations and