Yield Optimization Engineer - AI-Driven Semiconductors

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a Fab Engineer to start up, develop and optimize semiconductor processes for high yield and reliable product quality, driving improvements in yield, cost and productivity.

You will lead data-driven problem solving, perform DOE, and collaborate with wafer fab, process/integration, and equipment teams. The role emphasizes applying AI-enabled insights while maintaining quality, risk management, and schedule adherence.

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 levels
• 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 an added advantage
• 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

Skills

Problem-solving

Data analysis

Communication

Multi-tasking

Teamwork

AI literacy

Yield optimization

CMOS knowledge

Education

Electrical/Electronic Degree

Job description

Micron Technology, Inc. in Singapore is seeking a Fab Engineer to start up, develop and optimize semiconductor processes for high yield and reliable product quality, driving improvements in yield, cost and productivity.

You will lead data-driven problem solving, perform DOE, and collaborate with wafer fab, process/integration, and equipment teams. The role emphasizes applying AI-enabled insights while maintaining quality, risk management, and schedule adherence.