Physical Design Engineer - AI Methodology

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

THE ROLE:

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. You will collaborate 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.

THE PERSON:

Engineer with a good attitude, strong analytical skills, effective communication, and excellent problem-solving abilities.

KEY RESPONSIBILITIES:

• Leverage emerging AI and ML capabilities (including LLMs and predictive models) to develop methods & tools to analyze & optimize CPU core PPA across the full design hierarchy, from RTL through Physical Design, identifying root causes and optimization opportunities
• Accelerate convergence across synthesis, floor planning, 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

PREFERRED EXPERIENCE:

• 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

ACADEMIC CREDENTIALS: 

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or related field

LOCATION:  Santa Clara, CA

 

 

 

This role is not eligible for visa sponsorship.

 

 

#LI-MF2

#LI-HYBRID

Benefits offered are described:  AMD benefits at a glance.

 

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

 

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

THE ROLE:

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. You will collaborate 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.

THE PERSON:

Engineer with a good attitude, strong analytical skills, effective communication, and excellent problem-solving abilities.

KEY RESPONSIBILITIES:

• Leverage emerging AI and ML capabilities (including LLMs and predictive models) to develop methods & tools to analyze & optimize CPU core PPA across the full design hierarchy, from RTL through Physical Design, identifying root causes and optimization opportunities
• Accelerate convergence across synthesis, floor planning, 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

PREFERRED EXPERIENCE:

• 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

ACADEMIC CREDENTIALS: 

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or related field

LOCATION:  Santa Clara, CA

 

 

 

This role is not eligible for visa sponsorship.

 

 

#LI-MF2

#LI-HYBRID

Benefits offered are described:  AMD benefits at a glance.

 

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

 

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.