Senior Engineer, Process Yield Enhancement (NPI)

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte Ltd is seeking a Yield Engineer to drive yield analysis across frontend, backend, and test data, identify yield limiters, and support root-cause investigations. You will perform electrical characterization and failure analysis to localize defects and share actionable learnings with PFA teams.

Collaborating with Frontend Process, Quality, PE and TSE teams, you will support manufacturing corrections and yield optimization initiatives, while analyzing

Qualifications

• B.Sc. or higher in Electrical Engineering, Electronic Engineering, Microelectronics Engineering or equivalent.
• Experience in semiconductor manufacturing, product engineering, yield engineering, failure analysis, or a related discipline.

Responsibilities

• Perform yield analysis across Frontend, Backend, and Test data to identify yield limiters and support root-cause investigations using statistical, automation, and AI-assisted methods.
• Conduct electrical characterization and failure analysis to localize defects and provide actionable learning for Physical Failure Analysis (PFA).
• Collaborate with Frontend Process and Quality teams to support manufacturing corrections and yield improvement initiatives.
• Support Product Engineering (PE) and Test Solution Engineering (TSE) teams in resolving test-related yield issues and yield optimization activities.
• Analyze quality and reliability signals with Global Quality (GQ) teams to support delivery of high-quality DRAM products.
• Execute yield learning activities during qualification, ramp, and mature production phases and document findings.

Skills

Yield analysis

Statistical data analysis

Root-cause analysis

Education

B.Sc. or higher in Electrical/Electronic/Microelectronics Engineering

Tools

Python

Perl

C/C++

Job description

Main Responsibilities

• Perform yield analysis across Frontend, Backend, and Test data toidentifyyield limiters and support root-cause investigations using statistical, automation, and AI-assisted methods.

• Conduct electrical characterization and failure analysis to localize defects and provide actionable learning for Physical Failure Analysis (PFA).

• Collaborate with Frontend Process and Quality teams to support manufacturing corrections and yield improvement initiatives.

• Support Product Engineering (PE) and Test Solution Engineering (TSE) teams in resolving test-related yield issues and yield optimization activities.

• Analyze quality and reliability signals with Global Quality (GQ) teams to support delivery of high-quality DRAM products.

• Execute yield learning activities during qualification, ramp, and mature production phases and document findings.

Other Responsibilities

• Document technical analyses, corrective actions, and engineering learnings through reports and presentations.

• Collaborate with global cross-functional engineering teams and share knowledge to improve problem-solving effectiveness.

AI Responsibilities

• 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.

Qualifications

• B.Sc. or higher in Electrical Engineering, Electronic Engineering, Microelectronics Engineering or equivalent.

• Experience in semiconductor manufacturing, product engineering, yield engineering, failure analysis, or a related discipline for experienced professionals.

Technical Skills

• Yield analysis, statistical data analysis, and root-cause analysis (RCA).

• Electrical characterization, debug methodologies, and failure analysis techniques.

• Understanding semiconductor manufacturing processes, circuit layouts, and schematics.

Soft Skills

• Structured analytical problem-solving.

• Clear technical communication and presentation skills.

• Cross-functional collaboration and stakeholder engagement.

• Disciplined execution and attention to detail.

• Learning agility and continuous improvement mindset.

Preferred Skills

• Programming or scripting knowledge such as Python, Perl, or C/C++

• Data analytics, automation, and AI-assisted engineering workflows.

Embody Micron’s Core Values

• People Respect, develop, and empower others

• Innovation Drive continuous improvement and breakthrough thinking

• Tenacity Show grit and determination

• Collaboration Build trust and foster teamwork

• Customer Focus Deliver excellence and value

• Speed Act with purpose and set the pace