AI Cluster & Data Center Design Engr

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 We are seeking a highly skilled systems engineer to architect and design scalable AI/HPC clusters. This role involves evaluating and selecting compute, storage, networking, and power delivery components and solutions to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams to deliver cutting-edge infrastructure for AI and high-performance computing workloads. THE PERSON An experienced systems architect with a strong background in HPC, AI infrastructure, cluster, and data center engineering. You bring deep technical knowledge of compute, power, and networking components, a strategic mindset for system-level design, and the ability to collaborate across diverse technical domains. You thrive in fast-paced environments and are passionate about building efficient, scalable, and reliable compute platforms. Key Responsibilities: System Architecture & Design • Design scalable AI/HPC clusters including compute, storage, and networking with specific focus on , power delivery • Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance. Power • Design leading-edge power delivery solutions for high-density AI/GPU deployments. • Define power budgets, redundancy schemes, and fault tolerance mechanisms. Network • Design network topologies to maximize overall cluster performance • Understand the network performance needs of different types of workloads • Understand advantages and performance trade-offs of network topologies for AI/HPC clusters Storage • Design and optimize storage solutions to maximize AI/HPC cluster performance • Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc. Collaboration • Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure. • Experience in HPC, AI infrastructure, or data center systems engineering. • Strong understanding of rack and data center power delivery • Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking. • Familiarity with AI/ML frameworks and workload characteristics. • Excellent problem-solving, communication, and documentation skills. Preferred Qualifications: • Experience in HPC, AI infrastructure, or data center systems engineering. • Experience designing power delivery solutions for racks and data centers • Contributions to open-source HPC or AI infrastructure projects. Academic Credentials Bachelor's or Master's degree in Electrical Engineering, COmputer Engineering, Computer Science or related field. This role is not eligible for Visa Sponsorship #LI-KW1 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 We are seeking a highly skilled systems engineer to architect and design scalable AI/HPC clusters. This role involves evaluating and selecting compute, storage, networking, and power delivery components and solutions to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams to deliver cutting-edge infrastructure for AI and high-performance computing workloads. THE PERSON An experienced systems architect with a strong background in HPC, AI infrastructure, cluster, and data center engineering. You bring deep technical knowledge of compute, power, and networking components, a strategic mindset for system-level design, and the ability to collaborate across diverse technical domains. You thrive in fast-paced environments and are passionate about building efficient, scalable, and reliable compute platforms. Key Responsibilities: System Architecture & Design • Design scalable AI/HPC clusters including compute, storage, and networking with specific focus on , power delivery • Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance. Power • Design leading-edge power delivery solutions for high-density AI/GPU deployments. • Define power budgets, redundancy schemes, and fault tolerance mechanisms. Network • Design network topologies to maximize overall cluster performance • Understand the network performance needs of different types of workloads • Understand advantages and performance trade-offs of network topologies for AI/HPC clusters Storage • Design and optimize storage solutions to maximize AI/HPC cluster performance • Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc. Collaboration • Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure. • Experience in HPC, AI infrastructure, or data center systems engineering. • Strong understanding of rack and data center power delivery • Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking. • Familiarity with AI/ML frameworks and workload characteristics. • Excellent problem-solving, communication, and documentation skills. Preferred Qualifications: • Experience in HPC, AI infrastructure, or data center systems engineering. • Experience designing power delivery solutions for racks and data centers • Contributions to open-source HPC or AI infrastructure projects. Academic Credentials Bachelor's or Master's degree in Electrical Engineering, COmputer Engineering, Computer Science or related field. This role is not eligible for Visa Sponsorship #LI-KW1 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.