Night-Shift Failure Analysis Tech: AI FIB/TEM + SEM

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. seeks a skilled professional to perform cross-section analysis and SEM inspection, and TEM sample prep using FIB for detailed inspection.

You will identify defects, isolate faults, and collaborate with engineers to drive production efficiency and quality, applying AI-enabled insights where appropriate. The ideal candidate holds a relevant diploma and has experience in real-time defect or failure analysis, with readiness for 12-hour night shifts in a

Qualifications

• Diploma in Electrical/Electronics/Microelectronics/Mechatronics or related field.
• Experience in Real-Time Defect Analysis (RDA) or Failure Analysis is advantageous.
• Willingness to work permanent 12-hour night shifts.

Responsibilities

• Perform cross-section analysis and SEM inspection to monitor process health and quality.
• Handle TEM sample prep using FIB for TEM inspection.
• Identify defects and failure mechanisms via physical failure analysis with various FA tools.
• Complete physical fault isolation to pinpoint issues affecting production efficiency.
• Collaborate with engineering teams to provide feedback and implement solutions.
• Support wafer analysis with functional failures using FA tools to identify root causes.
• Document analytical findings and approaches to support continuous progress.
• Integrate AI-enabled tools into daily work, ensuring safety and standards compliance.
• Contribute to continuous improvement by testing and sharing AI-enabled enhancements.

Education

Diploma in Electrical/Electronics/Microelectronics/Mechatronics Engineering or a related field

Job description

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. seeks a skilled professional to perform cross-section analysis and SEM inspection, and TEM sample prep using FIB for detailed inspection.

You will identify defects, isolate faults, and collaborate with engineers to drive production efficiency and quality, applying AI-enabled insights where appropriate. The ideal candidate holds a relevant diploma and has experience in real-time defect or failure analysis, with readiness for 12-hour night shifts in a