Solution Architect – Physical AI

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 AMD’s Adaptive Embedded Compute Group (AECG) builds products that combine powerful, energy‑efficient CPUs, advanced neural engines, graphics processors, and adaptive embedded compute with programmable logic to deliver Physical AI and edge computing solutions. Across autonomous vehicles and machines, medical and industrial robotics, and other embedded platforms, AMD is no longer building AI solely for insight. We are building safety‑critical and mission‑critical systems in which AI physically interacts with the real world, operating in real time with deterministic behavior and no margin for error. AMD is seeking a Solution Architect – Physical AI to help plan, architect, design, and execute our Physical AI product roadmap. In this role, you will work across silicon, software, and system architecture to enable next‑generation Physical AI platforms and customer solutions THE PERSON The ideal candidate is an experienced Physical AI Solution Architect who thrives in a fast‑paced, cross‑functional environment and is motivated by solving complex system‑level challenges at the intersection of AI, hardware, and real‑world systems. You bring strong architectural judgment, a customer‑focused mindset, and experience designing robust, deterministic systems where reliability, predictability, and safety are first‑order design constraints. KEY RESPONSIBILITIES Partner with silicon planning and platform architecture teams to help define silicon features and software stacks for next‑generation Physical AI systems Collaborate with market segment architects and business leaders to create customer‑focused Physical AI solutions addressing complex requirements across Aerospace, Automotive, Medical, Robotics, Industrial, and Vision markets Architect heterogeneous AI systems (CPU + GPU + NPU, FPGA) Work closely with software engineering and product planning teams to define all aspects of the Physical AI software stack, including: ROCm and Ryzen™ AI software support for iGPUs and NPUs AMD’s Virtualized Automotive Stack Robot Operating System (ROS) Multimedia analytics pipelines, AI models, and Vision‑Language Models (VLMs) and Large Language Models (LLMs) Evaluate and communicate system‑level tradeoffs and architectural decisions required to deploy AI in real‑time, deterministic, and safety‑constrained environments PREFERRED EXPERIENCE Experienced Electrical, Computer, or Systems Engineer with deep experience architecting AI‑enabled systems for robotics, automation, autonomous machines, or other safety‑critical / mission‑critical systems Hands‑on experience with AI inference hardware (GPU and NPU) and associated software stacks Experience with robotics application frameworks and system integration Demonstrated ability to break down large, complex problems into manageable deliverables and to manage and prioritize requirements across multiple stakeholders ACADEMIC CREDENTIALS BS, MS, or PhD in Computer Science, Computer Engineering, or Electrical Engineering LOCATION Belfast, Ireland #LI-LC1 #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.

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 AMD’s Adaptive Embedded Compute Group (AECG) builds products that combine powerful, energy‑efficient CPUs, advanced neural engines, graphics processors, and adaptive embedded compute with programmable logic to deliver Physical AI and edge computing solutions. Across autonomous vehicles and machines, medical and industrial robotics, and other embedded platforms, AMD is no longer building AI solely for insight. We are building safety‑critical and mission‑critical systems in which AI physically interacts with the real world, operating in real time with deterministic behavior and no margin for error. AMD is seeking a Solution Architect – Physical AI to help plan, architect, design, and execute our Physical AI product roadmap. In this role, you will work across silicon, software, and system architecture to enable next‑generation Physical AI platforms and customer solutions THE PERSON The ideal candidate is an experienced Physical AI Solution Architect who thrives in a fast‑paced, cross‑functional environment and is motivated by solving complex system‑level challenges at the intersection of AI, hardware, and real‑world systems. You bring strong architectural judgment, a customer‑focused mindset, and experience designing robust, deterministic systems where reliability, predictability, and safety are first‑order design constraints. KEY RESPONSIBILITIES Partner with silicon planning and platform architecture teams to help define silicon features and software stacks for next‑generation Physical AI systems Collaborate with market segment architects and business leaders to create customer‑focused Physical AI solutions addressing complex requirements across Aerospace, Automotive, Medical, Robotics, Industrial, and Vision markets Architect heterogeneous AI systems (CPU + GPU + NPU, FPGA) Work closely with software engineering and product planning teams to define all aspects of the Physical AI software stack, including: ROCm and Ryzen™ AI software support for iGPUs and NPUs AMD’s Virtualized Automotive Stack Robot Operating System (ROS) Multimedia analytics pipelines, AI models, and Vision‑Language Models (VLMs) and Large Language Models (LLMs) Evaluate and communicate system‑level tradeoffs and architectural decisions required to deploy AI in real‑time, deterministic, and safety‑constrained environments PREFERRED EXPERIENCE Experienced Electrical, Computer, or Systems Engineer with deep experience architecting AI‑enabled systems for robotics, automation, autonomous machines, or other safety‑critical / mission‑critical systems Hands‑on experience with AI inference hardware (GPU and NPU) and associated software stacks Experience with robotics application frameworks and system integration Demonstrated ability to break down large, complex problems into manageable deliverables and to manage and prioritize requirements across multiple stakeholders ACADEMIC CREDENTIALS BS, MS, or PhD in Computer Science, Computer Engineering, or Electrical Engineering LOCATION Belfast, Ireland #LI-LC1 #LI-HYBRID