AI/HPC Cluster Design Engineer

Advanced Micro Devices, Inc.; Austin (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices, Inc. seeks an experienced AI systems engineer in Austin to design scalable AI/HPC clusters, selecting compute, storage, and networking components for global deployments.

The role emphasizes cross‑functional collaboration, rack design, and power delivery expertise to deliver efficient, reliable compute platforms for AI workloads.

Qualifications

• Bachelor’s or Master’s degree in a relevant field is required or preferred.
• Experience with HPC, AI systems/clusters, or data center engineering is expected.
• Knowledge of rack and cluster design and power delivery is desirable.

Responsibilities

• Design scalable AI/HPC clusters with compute, storage, and networking.
• Evaluate CPUs, GPUs, accelerators, interconnects, and memory for optimal performance.
• Design network topologies to maximize cluster performance and understand workload needs.
• Design and optimize storage for AI/HPC workloads (Lustre, Ceph).
• Collaborate across hardware, software, network, and data center teams to deliver scalable compute infrastructure.

Skills

HPC systems

AI systems

Cluster design

System architecture

Networking

Collaboration

Documentation

Education

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science

Master’s degree (preferred)

Tools

Lustre

Ceph

PCIe

InfiniBand

Ethernet

Job description

THE ROLE

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.

THE PERSON

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

System Architecture & Design

• Design scalable AI/HPC clusters including compute, storage, and networking
• Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance.

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.
• Experience in HPC, AI systems/clusters, or data center engineering.
• Strong understanding of rack and cluster design
• 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.

This role is not eligible for Visa Sponsorship

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Benefits offered are described: AMD benefits at a glance.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

AMD is an equal‑opportunity, inclusive employer 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.