AI Cluster & Data Center Design Engineer

Amd

Quick summary

Work type
On-site
Location
Austin, TX
Posted
100 days ago
Closes
Mar 19, 2027
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $189k
$121k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $142,875–$235,187.

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 56 open roles on FindRole.

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At a glance

TL;DR · AI Cluster & Data Center Design Engineer

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Join our dynamic team as a senior systems engineer specializing in the architecture and design of scalable AI/HPC clusters with a focus on rack and data center power delivery. You will evaluate and select optimal compute, storage, networking, and power components to ensure global deployment reliability and performance. Daily tasks include designing cutting-edge power solutions for high-density deployments, optimizing network topologies, and collaborating with cross-functional teams to deliver efficient infrastructure. Ideal candidates possess deep expertise in HPC, AI infrastructure, data center engineering, and are proficient in GPU/CPU architectures, PCIe, UALink, InfiniBand, Ethernet networking, and AI/ML frameworks. This role demands strong problem-solving skills and the ability to work effectively across diverse technical domains.

Skills

HPC AI Data_center_engineering CPUs GPUs Accelerators PCIe InfiniBand Ethernet Lustre Ceph CI/CD

What you'll do

  • Design scalable AI/HPC clusters with optimized compute, storage, and networking components.
  • Evaluate and select CPUs, GPUs, accelerators, interconnects for optimal cluster performance.
  • Define power budgets, redundancy schemes, and fault tolerance mechanisms for high-density deployments.
  • Design network topologies to maximize overall cluster performance and efficiency.
  • Optimize storage solutions to enhance AI/HPC cluster performance using advanced technologies.

What we're looking for

  • Extensive experience in HPC, AI infrastructure, and data center systems engineering.
  • Deep technical knowledge of compute, power delivery, and networking components.
  • Ability to design scalable AI/HPC clusters with optimized performance and reliability.
  • Expertise in evaluating and selecting CPUs, GPUs, accelerators, interconnects, and memory configurations.
  • Strong understanding of rack and data center power delivery solutions and fault tolerance mechanisms.

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