The AMD Silicon Valley Cores Methodology Team is looking for an engineer to develop and implement AI-driven techniques for the analysis and optimization of next-generation Zen CPU cores. This role involves collaboration with experts throughout the CPU design process, from RTL to tape-out, ensuring impactful contributions to live projects. The ideal candidate will possess strong analytical skills and effective communication abilities, contributing to a culture of innovation and collaboration. This position offers the opportunity to work on cutting-edge technology in a dynamic environment.

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or a related field
• Strong physical design and timing background
• Familiarity with industry EDA tools such as PrimeTime, Fusion Compiler, or Innovus
• Experience with structured data including SQL, JSON, and REST APIs
• Proficiency in scripting languages such as Python, Tcl, or Perl
• Understanding of CPU microarchitecture is preferred

• Leverage AI and ML capabilities to develop methods and tools for analyzing and optimizing CPU core PPA across the design hierarchy.
• Accelerate convergence across synthesis, floorplanning, place-and-route, timing closure, and signoff using AI-driven techniques.
• Build and maintain structured databases and web-based dashboards to track and visualize design metrics for multi-tile CPU implementations.
• Develop and improve physical design methodologies and customize EDA tool recipes throughout implementation steps.
• Collaborate with geographically distributed teams across design, CAD, and architecture.

• AMD provides a competitive 'Total Rewards' package that focuses on financial growth, health, and work-life balance.