THE ROLE:
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.
THE PERSON:
- 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
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
PREFERRED EXPERIENCES:
- 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
ACADEMIC CREDENTIALS:
- Bachelor's degree in electrical engineering, Computer Engineering, or Computer Science or a related degree in Math, Sciences, or Statistics
