Data Center Engineer

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$121,600–$182,400 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday
Closes
Oct 5, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $152k
$111k most similar roles pay here $222k

This role pays less than 59% of similar roles. Most pay $132,667–$211,200 — the shaded band above. At the midpoint, this role pays about $152k versus about $172k 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 · Data Center Engineer

Role Posting Log in to save

As a Data Center Engineer, you will execute graphics hardware and software subsystem projects for OEM partners and enterprise customers using AMD Instinct accelerators. You will perform node and cluster-level software installation and validation for AI and Machine Learning projects while building datacenter GPU dockers and containers for customer testing. Your daily responsibilities include resolving technical issues, providing guidance on server graphics and compute projects, qualifying new software functionality, and collaborating with development teams to resolve hardware and software issues throughout the product lifecycle. You will utilize Linux, virtual environments like VMWare or KVM, and software stacks such as ROCm or CUDA. The role focuses on solving complex problems in high-performance computing, specifically involving large-scale cluster deployment within hyperscale datacenters and validating multimode AI clusters using tools like AGFHC and RCCL RDMA.

Skills

GPU AI Machine Learning Linux Docker Containers AMD ROCm NVIDIA CUDA Virtualization VMware Citrix KVM RDMA RCCL Server Architecture Networking High-Performance Computing

What you'll do

  • Perform node and cluster-level software installation and validation for GPU/compute AI and Machine Learning projects.
  • Resolve technical issues for customers utilizing AMD Instinct products.
  • Provide technical guidance to customers regarding server graphics and compute projects for AI workloads.
  • Build datacenter GPU dockers and containers for customer testing and deployment.
  • Qualify and assess new software functionality to ensure compatibility with customer requirements.
  • Identify and resolve hardware/software technical issues throughout the product lifecycle from bring-up to end-of-life.
  • Communicate, report, and escalate incidents to AMD management following established procedures.
  • Track project schedules and action items while providing status updates to customers and management.

What we're looking for

  • Bachelor's or Master's degree in computer engineering, Electrical Engineering, or Computer Science.
  • Technical certifications in relevant software systems are highly desirable.
  • Experience in datacenter customer support and large-scale cluster deployment within hyperscale datacenters.
  • Expertise in server architecture, network topologies, and graphics software/hardware subsystems.
  • Proficiency in Linux installation, setup, usage, and debugging.
  • Experience with virtual environments such as VMWare, Citrix, KVM, or Microsoft.
  • Experience with datacenter GPU software stacks like AMD ROCm or Nvidia CUDA.
  • Knowledge of AI/Machine Learning workloads, frameworks, models, and multi-mode cluster validation.

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