AI/Physical Design Engineer

Advanced Micro Devices, Inc • Santa Clara, CA

1d • Hybrid

About The Position

At AMD, the mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. The company fosters a culture of innovation and collaboration, believing that progress comes from bold ideas, human ingenuity, and a shared passion. Joining AMD means experiencing a culture that pushes innovation limits to solve important challenges, striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. The AMD Silicon Valley Cores Methodology Team is seeking an engineer to investigate, develop, and deploy AI-driven techniques for analysis and optimization of next-generation Zen CPU cores. This role involves collaboration with experts across the full CPU design flow, from RTL to tape-out in the most advanced process nodes, with work that has immediate, visible impact on live projects.

Requirements

• strong analytical skills
• effective communication
• excellent problem-solving abilities

Nice To Haves

• Strong physical design and timing background; familiarity with industry EDA tools (PrimeTime, Fusion Compiler, Innovus, or equivalent)
• Experience with structured data (SQL, JSON, REST APIs) and web technologies (HTML/JS, data visualization)
• Comfort with LLM-based development tools (Claude Code, Codex, Copilot, or similar AI-assisted workflows)
• Scripting proficiency to automate design flows — Python, Tcl, Perl
• Understanding of CPU microarchitecture preferred
• Strong analytical and problem-solving skills with attention to detail
• Ability to manage multiple projects and communicate effectively across teams

Responsibilities

• Leverage emerging AI and ML capabilities (including LLMs and predictive models) to develop methods & tools to analyze & optimize cpucore PPA across the full design hierarchy, from RTL through Physical Design, identifying root causes and optimization opportunities
• Accelerate convergence across synthesis, floorplanning, place-and-route, timing closure, and signoff through AI-driven techniques
• Build and maintain structured databases (SQL/NoSQL) and web-based dashboards to track and visualize design metrics across large multi-tile CPU implementations
• Develop and improve physical design methodologies and customize EDA tool recipes across implementation steps
• Collaborate with geographically distributed teams across design, CAD, and architecture

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees