Fab Yield Engineer — AI-Driven Process Optimization

micron; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a Fab Engineer to join a team of process and equipment engineers. You will start up, develop and optimize processes to improve product quality, reliability and yield, working on cost, productivity and risk management.

The role emphasizes data-driven decision making, DOE design, and cross-functional collaboration to drive continuous improvement and AI-enabled enhancements across the manufacturing line.

Qualifications

• Bachelor's/Master's Degree in Electrical/Electronic/Microelectronic/Material Science/Data Science/Physics/Mathematics/Statistics.
• Minimum 1 year of relevant experience in Semiconductor Industry.
• Excellent problem-solving and analytical skills.
• Proven ability to communicate effectively both written and verbal to all level.
• Proven ability in multi-tasking complex projects and driving them to completion.
• Strong teamwork skills and the ability to build strong peer relationships
• Experience in yield analysis/EFA will be added advantage in consideration.
• Good understanding of CMOS device physics is an added advantage
• Knowledge of NAND devices operations is an added advantage
• Understanding of probe test flow & test methodology including array operation, customer feature and specification is an added advantage.
• Willing to work flexible hours that overlap with different time zones if necessary.
• Interest in and knowledge of the semiconductor industry and Micron is preferred
• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

Responsibilities

• Responsible for new product startup and sustaining high volume product yield/product grade improvement
• Lead Yield/Product Grade enhancement, including monitoring, performance to plan, and drive improvement
• Perform data analysis through analysis/statistic tools, summarize, present and publish data/result to all associated groups.
• Design and run DOE to drive improvement activities.
• Drive taskforce meeting to mitigate yield loss and generate roadmap for continuous improvement process with cross functional team
• Communicated effectively with key stakeholders, able to propose strategy and make decision based on data and result.
• Collaborated with the wafer fab process/integration group to address process-related defects affecting product yield
• Collaborated with FAB/MH/PE/PYE/etc to resolve process/device/test related issues.
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Education

Bachelor's/Master's Degree in Electrical/Electronic/Microelectronic/Material Science/Data Science/Physics/Mathematics/Statistics

Problem solving

Analytical skills

Communication

Multi-tasking

Teamwork

Yield analysis

CMOS device physics

NAND devices

Probe/test flow

AI literacy

Job description

Micron Technology, Inc. in Singapore is seeking a Fab Engineer to join a team of process and equipment engineers. You will start up, develop and optimize processes to improve product quality, reliability and yield, working on cost, productivity and risk management.

The role emphasizes data-driven decision making, DOE design, and cross-functional collaboration to drive continuous improvement and AI-enabled enhancements across the manufacturing line.