Staff Engineer, NVM Quality & Failure Analysis

Micron Technology; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Micron Technology, Inc. is seeking an NVM QRA Engineer within Global Quality to lead failure analysis and data analysis for 3D NAND memory devices.

The role involves developing qualification plans, performing risk assessments, and coordinating with R&D and Product Engineering to address reliability issues. Applicants should have a degree in Electrical/Electronics Engineering, experience in semiconductor QA or product engineering, and familiarity with AI tools to enhance reporting and

Qualifications

• Bachelor's or Master's degree in Electrical/Electronics Engineering or related discipline.
• Experience in semiconductor QA or product engineering preferred.
• Experience in failure analysis is a plus.
• Experience applying AI tools to improve engineering productivity or reporting is a plus.
• Excellent communication and teamwork skills.

Responsibilities

• Define NAND qualification plan.
• Facilitate and manage qualification.
• Perform qualification test data analysis and risk assessment at all decision points.
• Perform failure analysis on rejects to identify failure modes and corrective/preventive actions.
• Coordinate with R&D and Product Engineering to understand reliability issues and assess impact to customer risk.
• Leverage AI tools to automate reporting, defect classification, or root cause analysis.

Skills

Problem solving

Analytical skills

Communication

Cross-functional collaboration

QA in semiconductor

Failure analysis

AI tools usage

Education

Bachelor's or Master's degree Electrical Engineering

Job description

Micron Technology, Inc. is seeking an NVM QRA Engineer within Global Quality to lead failure analysis and data analysis for 3D NAND memory devices.

The role involves developing qualification plans, performing risk assessments, and coordinating with R&D and Product Engineering to address reliability issues. Applicants should have a degree in Electrical/Electronics Engineering, experience in semiconductor QA or product engineering, and familiarity with AI tools to enhance reporting and