Data Center Engineer - Remote
Originally posted 2 September 2026 by the employer.
This role focuses on Datacenter graphics hardware/software subsystem projects for AMD OEM partners and enterprise commercial end-customers.
About the role
This role is responsible for executing AMD's Datacenter graphics hardware/software subsystem projects for AMD OEM partners and enterprise commercial end-customers, leveraging expertise in graphics, compute, datacenter technologies, virtualization, and AI/Machine Learning with AMD Instinct Accelerators.
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 and support to customers for server graphics and compute projects related to AI and Machine Learning workloads.
- Build datacenter GPU dockers and containers for customer testing and deployment.
- Qualify and assess new software functionality to ensure compatibility with customer requirements.
- Assist development teams in identifying and resolving hardware/software technical issues throughout the product lifecycle.
What you'll need
- Bachelor’s or Master’s degree in computer engineering, Electrical Engineering, Computer Science or equivalent.
- Expertise in graphics, compute, datacenter technologies, virtualization, AI/Machine Learning, and program management.
- Exceptional datacenter deployment and troubleshooting skills in AI GPU hardware, software, and networking.
- Experience in datacenter customer support roles and large-scale cluster deployment within hyperscale datacenters.
- Experience with server architecture, remote management, network topologies, and graphics software/hardware subsystems.
- Proficiency in Linux installation, setup, usage, and debugging.
- Experience with virtual environments (e.g., VMWare, Citrix, KVM, Microsoft) and virtual machine setup/management.
- Experience with datacenter GPU software stacks such as AMD ROCm or Nvidia CUDA.
- Experience validating multimode AI clusters using AMD tools (e.g., AGFHC, RCCL RDMA) or equivalents.
- Experience with AI/Machine Learning workloads, frameworks, and models.
Nice to have
- Technical certifications in relevant software systems are highly desirable.
Skills: datacenter, GPU, AI/Machine Learning, Linux, ROCm, CUDA
This role has been open 42 days — below the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
973
|
Median days open
50 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (973 roles · 85 employers) |
|---|---|---|
| Open roles in this specialty | 55 | 973 |
| Open roles in the wider Software, Firmware & Systems family | 404 | 6142 · 145 employers |
| Median days open | 21 d | 50 d (−29 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: datacenter, GPU, AI/Machine Learning, Linux, ROCm, CUDA
Who's hiring in this category
- NVIDIA · 289 open roles · median 44 d
- Qualcomm · 61 open roles · median 57 d
- AMD (this employer) · 57 open roles · median 21 d
- Graphcore · 44 open roles · median 90 d
- Intel Corporation · 40 open roles · median 9 d
- Cerebras · 39 open roles · median 80 d
How we counted: 973 open Infrastructure/Platform Software (Infrastructure Platform) roles from 85 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.