AI Cluster & Data Center Design Engineer

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. THE ROLE We are seeking a highly skilled systems engineer to architect and design scalable AI/HPC clusters with a specific focus on rack and data center power delivery. 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, 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 a 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. Minimum Qualifications 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 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. 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 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. #J-18808-Ljbffr Advanced Micro Devices, Inc.