About the role
AI summarisedThe Staff Product Yield Development Engineer drives yield optimization and cost reduction for AI, graphics, CPU, and APU products by analyzing wafer data, collaborating with foundry and engineering teams, and implementing test and process improvements.
FablessOnsiteEngineering
Key Responsibilities
- 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 automate complex data analysis
- Bachelor's Degree in Electrical Engineering, Computer Engineering, or Computer Science
- Experience in process technology or product development with leading‑edge foundries, assembly and test operations
- Understanding of functional and design‑for‑test methodologies