Product Yield Engineer – PFA & Failure Analysis

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 60,000 - 90,000

Full time

13 days ago
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Job summary

Micron Technology, Inc. Singapore seeks an Engineer, Product Yield Enhancement (PYE) to advance physical failure analysis for memory devices. You will perform fault isolation, de‑capsulation, and circuit edit to improve yield, quality, and reliability.

You will collaborate with Product Engineering, Process Integration, Manufacturing, and Quality teams, while applying safe lab practices and AI‑enabled tools to raise analysis effectiveness and impact.

Qualifications

  • Bachelor's degree in relevant engineering field.
  • At least 2 years in Physical Failure Analysis (PFA) or related semiconductor environment.
  • Experience in semiconductor failure analysis and yield improvement.

Responsibilities

  • Become a subject matter contributor in physical failure analysis (PFA) and related methods.
  • Perform failure analysis to identify defect locations and failure mechanisms in memory devices.
  • Analyze device operation and fabrication to support root‑cause investigations.
  • Collaborate with cross‑functional teams to present results and support corrective actions.
  • Maintain readiness and safety of laboratory equipment and failure analysis methodologies.
  • Document findings and support continuous improvement in lab capability.

Skills

Analytical thinking
Structured problem solving
Technical communication
Cross-functional collaboration

Education

Bachelor's degree in Electrical and Electronics Engineering

Tools

De-capsulation tools
Circuit edit equipment
Electrical fault isolation

Job description

Micron Technology, Inc. Singapore seeks an Engineer, Product Yield Enhancement (PYE) to advance physical failure analysis for memory devices. You will perform fault isolation, de‑capsulation, and circuit edit to improve yield, quality, and reliability.

You will collaborate with Product Engineering, Process Integration, Manufacturing, and Quality teams, while applying safe lab practices and AI‑enabled tools to raise analysis effectiveness and impact.

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