NAND Reliability Engineer: AI-Driven Data & Failure Analysis

Micron Technology, Inc.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Micron Technology, Inc. is seeking a NAND Reliability Product Engineer in Singapore to define, evaluate, and safeguard Extrinsic/Intrinsic reliability of NAND Flash products.

You will work with large-scale data analysis, electrical failure analysis, and cross-functional teams to ensure robust reliability and ship high-quality end products. The role blends device physics, circuits, and process engineering with AI-enabled tools to improve efficiency, quality, and research outcomes, while

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering or related field.
• Knowledge in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.
• Strong statistical analysis, communication, and problem-solving skills.

Responsibilities

• Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent extrinsic/intrinsic reliability escapes.
• Perform high-volume statistical data analysis to evaluate NAND DPM/intrinsic reliability risks and trends.
• Drive electrical failure analysis, including advance characterization, to identify root causes and solution spaces.
• Develop short-term countermeasures such as targeted stresses and screens, applying knowledge of digital/analog circuits, device physics, and process engineering.
• Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to develop solutions.

Skills

Electrical engineering

Semiconductor reliability

NAND technology

Data analysis

AI tools

Python

Communication

Problem solving

Team player

Education

Electrical Engineering degree

Tools

Python

JMP

Tableau

Job description

Micron Technology, Inc. is seeking a NAND Reliability Product Engineer in Singapore to define, evaluate, and safeguard Extrinsic/Intrinsic reliability of NAND Flash products.

You will work with large-scale data analysis, electrical failure analysis, and cross-functional teams to ensure robust reliability and ship high-quality end products. The role blends device physics, circuits, and process engineering with AI-enabled tools to improve efficiency, quality, and research outcomes, while