AI/HPC Cluster Design Engineer

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$133,200–$199,800 / yr
Posted
53 days ago
Freshness
Confirmed live yesterday
Closes
Jul 20, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $166k
$121k most similar roles pay here $248k

This role pays less than 72% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $166k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · AI/HPC Cluster Design Engineer

Role Posting Log in to save

As an AI/HPC Cluster Design Engineer, you will join a team focused on designing scalable AI and high-performance computing clusters that meet specific customer and design requirements. Your daily responsibilities involve reviewing and selecting critical compute, storage, networking, and power delivery components to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams including hardware, software, network, data center, and operations experts to deliver infrastructure for AI workloads. The role requires deep technical knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking. You will also design network topologies and storage solutions using technologies like Lustre and Ceph. To succeed, you must understand AI/ML framework characteristics and rack designs while solving complex problems related to the performance trade-offs inherent in large-scale cluster infrastructure for high-performance computing environments.

Skills

HPC AI Systems GPU CPU InfiniBand Ethernet Lustre Ceph PCIe UALink Cluster Design Data Center Engineering Power Delivery System Architecture

What you'll do

  • Design scalable AI and HPC clusters including compute, storage, and networking components.
  • Select CPUs, GPUs, accelerators, interconnects, and memory configurations to optimize cluster performance.
  • Design network topologies tailored to the specific performance needs of AI and HPC workloads.
  • Develop and optimize storage solutions such as Lustre or Ceph for high-performance computing.
  • Ensure all system designs comply with specific customer requirements and technical specifications.
  • Design power delivery solutions for racks and data center infrastructure.
  • Document technical specifications and provide clear communication across hardware, software, and operations teams.

What we're looking for

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Experience in HPC, AI systems/clusters, or data center engineering.
  • Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking.
  • Expertise in designing scalable AI/HPC clusters including compute, storage, and networking components.
  • Familiarity with AI/ML frameworks and workload characteristics.
  • Experience designing power delivery solutions for racks and data centers.
  • Knowledge of rack and cluster design.
  • Strong problem-solving, communication, and documentation skills.

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