NTI Yield Analysis Engineer/Snr Engineer

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

1100 Micron SemiAsiaOP Pte Ltd is seeking a Yield Analysis Engineer for their NAND Technology Department in Singapore. This role involves providing key feedback on yield improvement activities, collaborating across functions, and developing technical solutions to enhance yield and performance.

The ideal candidate will have a Bachelor’s or Master’s degree in Electrical/Electronics Engineering and 5–7 years of experience in yield analysis. Skills in Python, JavaScript, or C/C++ are essential for success in this position.

Qualifications

• 5–7 years of experience in FA, yield analysis, or yield enhancement.
• Deep understanding of probe failure mechanisms.
• Electrical bench data collection experience is desirable.

Responsibilities

• Discover and quantify yield issues using various metrics.
• Interact with various teams to define and prioritize issues.
• Conduct statistical analyses for yield improvement.
• Track progress on issue resolution and yield improvements.
• Initiate data mining and correlation studies.
• Generate yield predictions based on expected improvements.
• Optimize layout and develop innovative solutions.

Skills

Problem-solving

Analytical skills

Fluency in Python

Fluency in JavaScript

Fluency in C/C++

Education

Bachelor’s or Master’s degree in Electrical/Electronics Engineering

Job description

Position Overview

Yield Analysis Engineer – NAND Technology Department, Singapore. The engineer will provide key feedback and direction on yield improvement activities for NAND memory technology, collaborating across all company functions and driving technical solutions to enhance yield, quality, reliability, and performance.

Responsibilities

• Discover and quantify yield issues in NAND development using metrics such as wafer/dice/tile shading, ECATS, or custom metrics.
• Interact with process, integration, yield, failure analysis, product engineering, design, and layout teams to define and prioritize yield and reliability issues.
• Own deep‑dive statistical analyses of inline, probe, and other critical metrics to enable early detection and yield improvement.
• Quantify and track progress on issue resolution, including yield improvement/downside impacts.
• Initiate data mining, correlation studies, and PFA requests to identify root causes of yield issues.
• Perform inline correlation studies and generate yield predictions based on expected improvements.
• Conduct yield trend analysis to identify root causes in process steps, conversions, algorithm changes, and design.
• Collaborate with metrology and RDA teams to develop and refine inline detection methods.
• Define and develop new parametric/probe bins with product and probe engineering teams to detect emerging failure modes.
• Work with module owners to identify key deficiencies and drive cross‑functional solutions.
• Optimize layout and develop innovative solutions to meet product and manufacturability requirements.
• Extract data from diverse databases, automate queries, and script for improved efficiency.
• Support the transfer of layout/architecture fundamentals from R&D to manufacturing fabs.

Requirements

• Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Materials Science, or related field.
• 5–7 years of experience in FA, yield analysis, or yield enhancement.
• Deep understanding of probe failure mechanisms; electrical bench data collection experience is desirable.
• Fluency in Python, JavaScript, or C/C++.
• Strong analytical, problem‑solving, and communication skills.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Micron prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.