AI​/HPC Cluster Design Engineer

AI Systems Engineer

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

We are seeking an experienced AI systems engineer to design scalable AI/HPC clusters with specific focus on compliance with customer and/or design requirements. This role involves reviewing 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.

An experienced systems engineer with a strong background in HPC, AI systems, and cluster 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:

• Design scalable AI/HPC clusters including compute, storage, and networking
• Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance.
• 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.
• Experience in HPC, AI systems/clusters, or data center engineering.
• Strong understanding of rack and cluster design
• Knowledge of GPU/CPU architectures, PCIe, UALink, Infini Band, and Ethernet networking.
• Familiarity with AI/ML frameworks and workload characteristics.
• Excellent problem-solving, communication, and documentation skills.

• 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