About the role
AI summarisedThe Senior Staff Process Engineer in Yield Analysis at AMD is responsible for enhancing product yield through diagnostic tool development, fault isolation, and collaboration with foundry partners and cross-functional teams. The role involves creating and verifying debug and analysis tools, developing FPGA debug capabilities, and improving yield and quality across wafer and package levels. The ideal candidate has extensive experience in semiconductor yield analysis, FPGA products, and strong skills in scripting, data analysis, and problem-solving.
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Key Responsibilities
- FPGA Diagnostic Tool and Yield Analysis Tool Development – Continuously expands development of diagnostic and AI yield analysis tools and method capabilities for electrical fault isolation and yield improvement opportunity
- Support diagnostic fault isolation of key failure mode of production test for yield and quality improvement
- Foundry Management – Interacts closely and effectively communicates with supplier partners, drives yield engineering activities and quality initiatives to ensure AMD products meet best-in-class quality requirements
- Creating and verifying debug and analysis tools
- Creating scripting to post process production test log
- Generating debug test patterns and perform silicon level debug for yield and quality improvement
- Working with product debug team to co-develop FPGA debug tools for failure analysis on 1st silicon, burn-in, or reject units on wafer and package level
- Working closely with foundry partners and internal cross functional team for new product introduction, yield and quality improvement
Requirements
- 8+ years of experience in process engineering and semiconductor yield analysis
- Extensive knowledge of FPGA architecture and diagnostics
- Experience in fault isolation and physical failure analysis
- Experience and knowledge of IC test pattern generation and debug
- Integrated Circuit (IC) chips design software such as Cadence Schematics, LVS (Layout Versus Schematic), layout, and verification tools
- Strong understanding of semiconductor manufacturing flow, from circuit design, manufacturing, and tests
- Excellent problem-solving skills and ability to work independently and as part of a team
- Scripting in TCL, Perl, or Python
- Advanced data analysis and machine learning
- SQL or QLAP databases
- Data analysis tools such as JMP, Pandas, NumPy, or Matplotlib
- BS or MS in Computer Science/Engineering or equivalent
- Thorough understanding of analog, digital, and mixed signal circuits
- Ability to independently identify, analyze, and resolve yield issues at various levels