HBM Yield Enhancement Engineer | AI-Driven NPI Optimizer

Micron Technology; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

Micron Technology in Singapore seeks a PDE Yield Enhancement Engineer to monitor yield, manage excursions, and stabilize yield during High Bandwidth Memory (HBM) NPI. You will own yield during first silicon through ramp, working with PI, MRDA, PE, assembly/test, and quality teams to drive rapid learning, early risk detection, and disciplined recovery.

The role emphasizes hands-on ownership, collaboration across functions, and applying AI-assisted tools to improve yield and efficiency in a

Qualifications

• Bachelor's or master's degree in engineering or related discipline.
• 0–2 years of experience in semiconductor manufacturing or engineering.
• Strong interest in yield analysis and data‑driven problem solving.
• Basic knowledge of statistics, SPC, or data analysis tools.
• 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.
• 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.

Responsibilities

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
• Account for HBM NPI builds across Post Wafer Finishing, Assembly, and test to understand fail modes.
• Collaborate with Process Integration to brainstorm Continuous Improvement Plans.
• Learn NPI processes, phase gates, and yield best practices.
• Maintain yield dashboards and support real‑time defect analysis.
• Analyze and report yield deviation and trigger actions.
• Support block run and partial conversion yield analysis for early detection.
• Work with PCS to identify SPC or FDC charts for YLR dashboards.
• Brainstorm with staff to propose yield improvements.
• Use Auto-diagnostics to find yield improvement opportunities.

Skills

Yield analysis

Data-driven problem solving

Statistics

SPC

AI literacy

Analytical thinking

Effective communication

Leadership

Education

Bachelor's or master's degree in engineering

Tools

Auto-diagnostics

Statistical analysis tools

Job description

Micron Technology in Singapore seeks a PDE Yield Enhancement Engineer to monitor yield, manage excursions, and stabilize yield during High Bandwidth Memory (HBM) NPI. You will own yield during first silicon through ramp, working with PI, MRDA, PE, assembly/test, and quality teams to drive rapid learning, early risk detection, and disciplined recovery.

The role emphasizes hands-on ownership, collaboration across functions, and applying AI-assisted tools to improve yield and efficiency in a