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AMD

1 month ago

Data Center Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Reposted: similar role first listed 3 months ago

Job Summary

Execute AMD’s datacenter graphics hardware/software subsystem projects for OEM and enterprise customers, leveraging expertise in GPU/compute, virtualization, AI/Machine Learning, and program management. Perform node/cluster software installation and validation, troubleshoot customer issues, build GPU containers for testing, and qualify software functionality. Collaborate with program managers to maintain schedules and deliverables, while supporting the full hardware/software lifecycle from bring-up through end-of-life.

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Execute datacenter graphics hardware/software subsystem projects for OEM and enterprise customers using AMD Instinct Accelerators.
•Perform node and cluster-level software installation and validation for GPU/compute AI and Machine Learning projects.
•Resolve technical issues and provide technical guidance for server graphics and compute projects related to AI/Machine Learning workloads.
•Build datacenter GPU dockers and containers for customer testing and deployment, and qualify new software functionality for compatibility.
•Collaborate with program managers to maintain schedules, track action items, ensure deliverables are met, provide status updates, and communicate/escalate incidents.

Travel: Extensive travel

Pay and Benefits

Salary: USD 106,400 - 182,400 annually

Key Requirements

•Bachelor’s or Master’s degree in computer engineering, Electrical Engineering, or Computer Science.
•Experience with datacenter customer support roles and large-scale cluster deployment in hyperscale datacenters.
•Strong Linux installation, setup, usage, and debugging skills.
•Experience with virtualization and virtual machines (e.g., VMWare, Citrix, KVM, Microsoft).
•Experience with datacenter GPU software stacks such as AMD ROCm or Nvidia CUDA, plus AI/Machine Learning workloads and strong debugging/problem-solving skills.

Experience:DatacenterAI/Machine LearningHyperscale datacenters

Education:Bachelor's in computer engineering, Electrical Engineering, Computer Science

Skills:AnalyticalDetail-orientedSelf-motivatedStrong debuggingProblem-solving

Languages:En-us

Tech Stack:LinuxVirtualizationVMWareCitrixKVMMicrosoftVirtual machineDockerContainersAMD ROCmNvidia CUDAAGFHCRCCL RDMA

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn