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 Global Cluster Engineering group is seeking a highly skilled and motivated Rack Design Engineer to design detailed rack layouts for high-performance computing clusters optimized for AI workloads using AMD Instinct GPUs and Epyc CPUs. This role will be responsible for creating design documents, customer collateral, and other reference documents.    KEY RESPONSIBILITIES: Rack & Cluster Design Design scalable AI/HPC data center rack layouts including compute, storage, networking, power delivery and cooling Translate high level requirements and architecture input into detailed rack designs Design leading-edge thermal and power delivery for high-density deployments Network Design intra-rack and rack-to-rack network connections to maximize overall cluster performance Translate network architecture requirements and input into rack-level designs Understand the network performance needs of different types of workloads Understand advantages and performance trade-offs of network topologies for AI/HPC clusters Power Design rack-level and data center power delivery infrastructure Define power budgets, redundancy schemes, and fault tolerance mechanisms Understand differences in power delivery and regulatory requirements in global locations, e.g. U.S., EMEA, Asia and other countries Storage Translate storage architecture requirements and input into rack-level designs 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. PREFERRED EXPERIENCE:   Extensive experience in rack and/or data center design, HPC, AI infrastructure, or data center systems engineering Experience with liquid cooling or advanced thermal management Experience with rack level power distribution ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #Ll-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.