GPU Infrastructure Engineer

Techclub, Inc

Fort Worth, TX, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

Artificial Intelligence Systems Engineering Bash Shell Ubuntu (Operating System) Nvidia CUDA Computer Programming Data Centers Linux Hyper-V Python (Programming Language) Linux Kernel Linux System Administration

+15 more

Windows Servers Nagios PCI Express Performance Tuning Red Hat Enterprise Linux Ansible Virtualization Technology Diagnostic Tools Computer Networking Systems Grafana Firewalls (Computer Science) Infrastructure Automation Frameworks Influxdb Hardware Infrastructure Vmware

Job description

Design, deploy, maintain, and troubleshoot enterprise-scale Linux and Windows server infrastructure.
Support hyperscale GPU and compute environments used for AI training and inference workloads.
Troubleshoot NVIDIA and AMD GPU platforms, including GPU memory errors, driver issues, CUDA/ROCm failures, PCIe problems, and system-level hardware faults.
Work with GPU technologies and related OCP-based hardware to optimize system performance.
Diagnose server, rack, power, networking, PCIe, GPU, NIC, and operating-system issues.
Utilize Linux kernel tools, NVIDIA/AMD diagnostic utilities, system logs, and custom troubleshooting tools to identify and resolve infrastructure problems.
Develop automation and infrastructure tooling using Python, Bash, Ansible, Chef, and related technologies.
Improve operational tools and automation used across large server fleets.
Support VMware and Hyper-V virtualization environments where required.
Administer and troubleshoot networking infrastructure, including switches, firewalls, and data center connectivity.
Monitor infrastructure health and performance using tools such as Grafana, InfluxDB, Telegraf, Nagios, and related monitoring platforms.
Participate in on-call rotations and provide critical incident response for production infrastructure.
Identify systemic infrastructure issues and develop scalable solutions to prevent recurrence.
Collaborate with engineering and infrastructure teams to improve reliability, availability, and operational efficiency.

Requirements

10+ years of experience in systems, infrastructure, production engineering, or related roles.
Strong Linux administration and troubleshooting experience, preferably with RHEL and Ubuntu.
Hands-on experience with enterprise server and data center infrastructure.
Experience troubleshooting GPU-based infrastructure and high-performance compute environments.
Strong understanding of server hardware, PCIe, networking, storage, and operating-system diagnostics.
Programming/scripting experience with Python and Bash.
Experience with infrastructure automation tools such as Ansible or Chef.
Strong troubleshooting and root-cause-analysis skills.
Experience working in large-scale production environments.
Excellent communication and cross-functional collaboration skills., The ideal candidate is a hands-on infrastructure professional who can operate at both the hardware and software layers, from diagnosing GPU/server failures and Linux kernel issues to developing automation that improves reliability across large-scale infrastructure. Experience supporting hyperscale AI/GPU environments, combined with strong systems engineering and production troubleshooting skills, is highly valued.