AI Cluster & Data Center Design Engineer

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THE ROLE

We are seeking a highly skilled systems engineer to architect and design scalable AI/HPC clusters with 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 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.
• Understand differences in power delivery and regulatory requirements in global locations, e.g. U.S., EMEA, Asia and other countries
• 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 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.

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Benefits offered are described: AMD benefits at a glance.

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