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Staff Yield Engineer – Data AnalyticsADVANCED MICRO DEVICES (SINGAPORE) PTE LTD • London, England, United Kingdom
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Staff Yield Engineer – Data Analytics

ADVANCED MICRO DEVICES (SINGAPORE) PTE LTD
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
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Über

THE ROLE You will be supporting the development and launch of high-quality AI, Graphics, CPU, APU, and custom design products in the Product Yield Engineering team. You will optimize manufacturing costs and ensure timely market delivery. You will be involved in cross‑functional collaboration with engineering, design, foundry, and data teams to resolve complex challenges, accelerate product ramp‑up, and drive ongoing yield improvements.
KEY RESPONSIBILITIES
Data analysis and yield engineering, focusing on post‑testing data, presentation, and understanding fabrication/testing processes
Analyzing data across various products
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, product teams and business units to define and achieve program requirements for defectivity, power, performance, reliability, and quality
PREFERRED EXPERIENCE The ideal candidate will have the following minimum skills:
Minimum 7 years of experience in process technology or product development, preferably with leading‑edge foundries, assembly, and test operations.
Direct experience in JMP or equivalent data analysis tools.
Database querying and SQL
An advanced degree in a related field may reduce the minimum experience requirement
In addition, we value these technical competencies in our team:
Strong AI‑forward data science skills with experience in big data models, databases, and machine learning
Strong scripting capability including using AI to extract and automate complex data analysis
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
ACADEMIC CREDENTIALS
Bachelor's Degree in Electrical Engineering, Computer Engineering, or Computer Science, or a related degree in Math, Sciences, or Statistics.
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  • London, England, United Kingdom

Sprachkenntnisse

  • English
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