About the role
AI summarisedStaff Yield Engineer focused on data analytics at AMD, a semiconductor company. The role involves supporting the development and launch of high-quality AI, graphics, CPU, and custom design products by optimizing manufacturing costs, analyzing yield data, and collaborating with cross-functional teams to drive yield improvements.
FablessFull-time{'name': 'Engineering'}
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
Requirements
- Relevant 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
- 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
- Bachelor's Degree in Electrical Engineering, Computer Engineering, or Computer Science, or a related degree in Math, Sciences, or Statistics