AI Lab Technical Support Specialist

Role Overview

We're looking for a hands‑on engineer/technician to assist with the setup, maintenance, and operation of our high‑performance computing cluster. This role is ideal for someone with practical experience in Linux systems in the data center who enjoys working in a fast‑paced technical environment.

This role is a hands‑on, hardware‑focused technical support position supporting GPU/compute clusters in an AI lab/R&D environment. The emphasis is on hardware troubleshooting, Linux‑based system support, and deep understanding of compute architecture, rather than software development.

• Racking, stacking, cabling, and maintenance of the AI data center and lab.
• Perform routine maintenance and troubleshooting on Linux servers, storage and networking systems.
• Use tools to monitor and troubleshoot hardware issues.
• Work closely with engineers and developers to ensure smooth operation of the AI infrastructure.
• Troubleshoot GPU/CPU servers, compute clusters, and networking (Infini Band).
• Diagnose hardware issues (cabling, components, GPUs, servers).
• Rack/stack as needed; replace/install server components within racks.
• Use Linux command line extensively for diagnostics and system validation.
• Manage lab space and hardware inventory.

• Experience with assembly of mechanical or electrical systems, or component‑level repairs and troubleshooting on technical equipment.
• Ability to lift/move 50 lb (23 kg) of equipment and physical endurance for extended periods.
• Experience working within a data center or network operation center environment.
• Comfortable in a Linux environment and able to diagnose and troubleshoot operating systems, computer/server hardware, and networking stack.
• Ability to write and understand simple Bash or Python scripts.
• Exposure to Git, Jenkins, or similar tools is a plus.

• Strong hardware troubleshooting experience (servers, GPUs, compute systems).
• Solid understanding of computer/compute architecture.
• Strong Linux skills for system bring‑up and troubleshooting.
• Experience with GPUs and high‑performance compute environments.
• Ability to independently diagnose and resolve hardware/system issues.

• Prior data center or HPC/compute cluster experience.
• Scripting experience (Bash, Python).
• Familiarity with GPU technologies (cutting‑edge R&D GPUs; Tesla, etc.).
• Candidates who have built systems themselves (gaming PCs, lab servers, small data centers).

• Minimum: 3‑4 years of relevant experience (not pure sysadmin only).
• Bachelor's degree preferred, but experience matters more than degree.

No travel required.