Sr. Architect Workload Driven Power and Energy Modeling

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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.  

Senior Architect - Workload-Driven Power and Energy Modeling

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THE ROLE:​

AMD is seeking a technical leader to define and scale workload-driven power and energy modeling across CPU cores and SoC platforms. This role will connect workload behavior to architecture, design, and implementation decisions, improving early insight and enabling better performance-per-watt tradeoffs. The candidate will partner across Methodology, Cores Architecture, SoC Architecture, and Physical Design to build methods that scale across products.​

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KEY RESPONSIBILITIES:​

• Define long-term strategy for workload-driven power and energy modeling across CPU and SoC platforms​
• Expand modeling across server, agentic, and client workloads, and extend current methods toward energy modeling​
• Turn deep expertise in power modeling, analysis, and optimization into AI-first agentic workflows that help deliver the next 5% in perf/W​
• Partner across Methodology, Cores Architecture, SoC Architecture, and Physical Design to turn workload insight into practical methods and better product decisions​
• Use competitive analysis to find gaps and guide optimization priorities​

​

PREFERRED EXPERIENCE:​

• Deep expertise in power or energy modeling, architecture, physical design, or related methodology​
• Strong understanding of workload and benchmark behavior, with ability to turn insight into design guidance​
• Experience building modeling frameworks that inform architecture and implementation tradeoffs​
• Proven ability to influence senior technical direction and drive adoption across organizations​
• ​

ACADEMIC CREDENTIALS:​

• BS, MS, or PhD in EE, CS or a related field, with strong industry experience in CPU, SoC, or methodology development​

 

This role is not eligible for visa sponsorship.

 

#LI-DNI

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.

Senior Architect - Workload-Driven Power and Energy Modeling

​

THE ROLE:​

AMD is seeking a technical leader to define and scale workload-driven power and energy modeling across CPU cores and SoC platforms. This role will connect workload behavior to architecture, design, and implementation decisions, improving early insight and enabling better performance-per-watt tradeoffs. The candidate will partner across Methodology, Cores Architecture, SoC Architecture, and Physical Design to build methods that scale across products.​

​

KEY RESPONSIBILITIES:​

• Define long-term strategy for workload-driven power and energy modeling across CPU and SoC platforms​
• Expand modeling across server, agentic, and client workloads, and extend current methods toward energy modeling​
• Turn deep expertise in power modeling, analysis, and optimization into AI-first agentic workflows that help deliver the next 5% in perf/W​
• Partner across Methodology, Cores Architecture, SoC Architecture, and Physical Design to turn workload insight into practical methods and better product decisions​
• Use competitive analysis to find gaps and guide optimization priorities​

​

PREFERRED EXPERIENCE:​

• Deep expertise in power or energy modeling, architecture, physical design, or related methodology​
• Strong understanding of workload and benchmark behavior, with ability to turn insight into design guidance​
• Experience building modeling frameworks that inform architecture and implementation tradeoffs​
• Proven ability to influence senior technical direction and drive adoption across organizations​
• ​

ACADEMIC CREDENTIALS:​

• BS, MS, or PhD in EE, CS or a related field, with strong industry experience in CPU, SoC, or methodology development​

 

This role is not eligible for visa sponsorship.

 

#LI-DNI

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.