Senior Engineer, Process Yield Enhancement (NPI)

Main 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.

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