AI Cluster & Data Center Design Engr
About The Position
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. 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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
- Design leading-edge power delivery solutions for high-density AI/GPU deployments.
- Define power budgets, redundancy schemes, and fault tolerance mechanisms.
- 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
- 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.
- 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.
Benefits
- AMD benefits at a glance.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
