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Senior Engineer, Yield Management

Exclusive opportunity

Onsite

Senior Engineer, Yield Management

POET Technologies

Senior Engineer, Yield Management

Skills

Data EngineeringPythonData AnalysisProcess Improvement

25 days ago

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Important information


Contract type:

Permanent

Salary:

SGD 60,000 – SGD 90,000 / year

Location:

Singapore

Work mode:

Onsite

Published on:

2 October 2026

What they need


Position OverviewThe incumbent supports the development and manufacturing of Optical Interposer products by improving yield and performance. The role focuses on data-driven defect analysis, root-cause resolution, and collaboration with internal teams and fabrication partners to ensure high-quality, reliable, and manufacturable optical engine designs.

Responsibilities

  • Design and develop Optical Interposer products with a focus on yield and performance optimization.
  • Lead yield improvement and defect reduction initiatives across optical engine designs.
  • Conduct data analysis, problem characterization, and root-cause fault isolation for yield-related issues using commonality analysis, regression analysis, and systematic DMAIC problem-solving approaches.
  • Define and document failure modes, material impact, and fallout percentages to support corrective actions.
  • Monitor, track, organize, and present yield data from fabrication partners.
  • Implement checklists, guidelines, and “lessons learned” documentation to support ongoing yield-improvement activities.
  • Perform yield correlation and failure-analysis work (electrical, optical, physical) and support additional engineering tasks as assigned**.**

Qualifications & Requirements

  • Education & Experience: Bachelor’s or Master’s degree with at least 5 years of experience in a process integration role, specializing in yield improvement, preferably in optoelectronics or semiconductor manufacturing.
  • Technical Expertise: Strong foundation in semiconductor physics and engineering fundamentals, with a good understanding of mechanical, electrical, and thermal failure mechanisms. Proficiency in statistical analysis tools (e.g., JMP) and experience with commonality analysis, regression analysis, or systematic DMAIC problem-solving approaches. Experience with Python programming for engineering data analysis and automation is an added advantage.
  • Yield Enhancement & Certification: Experience in yield enhancement, defect reduction, or process improvement roles is preferred. Lean Six Sigma certification is an added advantage.

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