$106,400 - $182,400 USD yearly
Originally posted 5 June 2026 by the employer. Relisted by the employer on 5 October 2026.
About the role
The Member of Technical Staff (MTS) Data Center Engineer is responsible for deploying, validating, troubleshooting, repairing, and optimizing AMD AI, HPC, and data center infrastructure. The position provides technical support remotely from an AMD office and onsite across customer data center environments covering servers, GPUs, networking, firmware, power, and cooling.
What you'll do
- Lead or perform the installation, configuration, validation, maintenance, and repair of data center infrastructure. - Diagnose and resolve complex server, GPU, networking, firmware, power, cooling, cabling, and system-management issues using structured root-cause analysis. - Perform advanced rack-, cluster-, and node-level validation following deployments, configuration changes, and hardware repairs. - Verify firmware, BIOS, BMC, CPLD, networking, and software configurations against approved specifications and standards. - Replace, configure, and validate field-replaceable units in accordance with approved technical and safety procedures. - Coordinate issue resolution and lead site activities with customers, engineering teams, OEMs, ODMs, and service partners.
What you'll need
- Bachelor’s or master’s degree in engineering, computer science, or a related technical field. - Seven or more years of experience supporting data center, server, networking, HPC, AI, or enterprise infrastructure. - Advanced knowledge of server architecture, Linux, networking, firmware, power, cooling, and hardware diagnostics. - Proven ability to lead complex troubleshooting and root-cause investigations using logs, telemetry, and diagnostic tools. - Experience leading cross-functional technical initiatives, influencing decisions, and mentoring technical personnel. - Ability to work safely in active data centers, travel to AMD and customer locations, and support scheduled maintenance and on-call rotations.
Nice to have
- Experience supporting GPU-based AI, HPC, or large-scale cluster environments. - Hands-on experience with Linux, server-management interfaces, and Ethernet or InfiniBand networking. - Experience with direct-liquid cooling, high-density racks, power distribution, and cooling systems. - Experience with deployment, validation, monitoring, automation tools, or scripting languages such as Python, Bash, or PowerShell. - Relevant industry or vendor certifications.
Skills: datacenter, GPU, ROCm, CUDA, AI/Machine Learning, cluster deployment
This role has been open 217 days — well above the 54-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
1000
|
Median days open
54 d
|
Median salary
$223k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (1000 roles · 89 employers) |
|---|---|---|
| Open roles in this specialty | 57 | 1000 |
| Open roles in the wider Software, Firmware & Systems family | 391 | 6302 · 146 employers |
| Median days open | 28 d | 54 d (−26 d vs this employer) |
| Median salary (USD postings) | — | $223k |
Skills observed across this category: datacenter, GPU, ROCm, CUDA, AI/Machine Learning, cluster deployment
Who's hiring in this category
- NVIDIA · 282 open roles · median 52 d
- Qualcomm · 65 open roles · median 53 d
- AMD (this employer) · 57 open roles · median 27 d
- Graphcore · 50 open roles · median 101 d
- Intel Corporation · 48 open roles · median 15 d
- Cerebras · 35 open roles · median 91 d
How we counted: 1000 open Infrastructure/Platform Software (Infrastructure Platform) roles from 89 employers tracked in the SemiconductorJobs index, counted 26 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.