NAND Reliability Engineer - AI-Driven Failure Analysis

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 78,000 - 134,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte. Ltd. seeks an Electrical Engineer to lead NAND reliability test flows and data-driven assessments of product reliability performance.

You will analyze high-volume data to identify intrinsic risks and drive AI-enabled improvements, collaborating with Fab, NAND Technology, Design, and Quality teams to ship high-quality products. The role requires knowledge of semiconductor reliability, device physics, and statistical methods, with hands-on use of Python,

Qualifications

• Bachelor's or Master's degree in Electrical Engineering or related field.
• Knowledge in Semiconductor Reliability and NAND Technology.
• Understanding of Design, Device Physics, Circuits and Process.
• Strong statistical analysis, communication and problem solving.

Responsibilities

• Define and implement NAND Flash reliability test flows to assess product reliability performance.
• Perform high-volume statistical data analysis to evaluate reliability risks and trends.
• Drive electrical failure analysis to identify root causes and solutions.
• Develop short-term countermeasures using stresses and screens leveraging circuits/physics knowledge.
• Collaborate with Fab, NAND Tech, NAND Design, Product Dev, System Dev, and Quality/Reliability teams.
• Integrate AI-assisted tools to improve efficiency, quality, or effectiveness.
• Support customer inquiries with technical reliability insights.
• Drive initiatives to enhance the overall reliability program.

Skills

Statistical analysis

AI/LLMs techniques

Device physics

Communication skills

Problem solving

Education

Bachelor's degree in Electrical Engineering

Master's degree in Electrical Engineering

Tools

Python

JMP

Tableau

Job description

Micron Semiconductor Asia Operations Pte. Ltd. seeks an Electrical Engineer to lead NAND reliability test flows and data-driven assessments of product reliability performance.

You will analyze high-volume data to identify intrinsic risks and drive AI-enabled improvements, collaborating with Fab, NAND Technology, Design, and Quality teams to ship high-quality products. The role requires knowledge of semiconductor reliability, device physics, and statistical methods, with hands-on use of Python,