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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