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Staff Product Yield Development Engineer

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AMD

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Location:
Singapore , Singapore

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Product Yield Engineering team seeks an experienced engineer to support the development and launch of high-quality AI, Graphics, CPU, APU, and custom design products. The primary objective is to optimize manufacturing costs and ensure timely market delivery. This role requires cross-functional collaboration with engineering, design, foundry, and data teams to resolve complex challenges, accelerate product ramp-up, and drive ongoing yield improvements.

Job Responsibility:

  • Manage product wafer costs, including yield and test content, to meet quality and yield targets
  • Analyze yield metrics to forecast supply and product performance
  • Implement best practices for test and characterization
  • Use diagnostics and failure analysis to reduce defects in foundry environments
  • Collaborate with internal and external foundry teams to identify and implement process improvements
  • Engage with engineering and business units to define and achieve program requirements for defectivity, power, performance, reliability, and quality

Requirements:

  • Strong AI-forward data science skills with experience in big data models, databases, and machine learning
  • Direct experience in JMP or equivalent data analysis tools
  • Strong scripting capability including using AI to extract and automate complex data analysis
  • An advanced degree in a related field may reduce the minimum experience requirement
  • Experience in process technology or product development, preferably with leading-edge foundries, assembly, and test operations
  • Understanding of functional and design-for-test methodologies, structures, and practices
  • Technical expertise in the productization of new and advanced technologies
  • Knowledge of leading edge (FinFET, GAA, etc.) semiconductor device physics
  • Semiconductor manufacturing experience
  • Ability to work effectively in geographically distributed and diverse teams
  • Bachelor's Degree in Electrical Engineering, Computer Engineering, or Computer Science -- or a related degree in Math, Sciences, or Statistics

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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