About the role
AI summarisedThe 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 through cross-functional collaboration.
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 extract and automate complex data analysis
- Bachelor's Degree in Electrical Engineering, Computer Engineering, or Computer Science -- or a related degree in Math, Sciences, or Statistics