AI Lab Technical Support Specialist

Role Overview

Hands-on technical support role focused on maintaining and troubleshooting high-performance compute (HPC) and GPU-based AI infrastructure in a lab/data center environment. This position supports Linux-based systems, hardware infrastructure, and compute clusters.

• Rack, stack, cable, and maintain servers and AI lab/data center hardware.
• Troubleshoot and repair GPU/CPU servers, compute clusters, and networking (including Infini Band).
• Perform hardware diagnostics and replace/install server components in racks.
• Monitor and troubleshoot Linux-based systems, storage, and networking issues.
• Use Linux command-line tools for system validation, debugging, and performance checks.
• Collaborate with engineers to ensure stable operation of AI infrastructure.
• Manage lab space and support hardware inventory tracking and maintenance.

• 3–4+ years of experience in data centers, NOC environments, or similar technical infrastructure roles.
• Strong hands‑on experience with server, GPU, and compute hardware troubleshooting.
• Solid understanding of computer architecture and high-performance compute systems.
• Strong Linux administration and troubleshooting skills.
• Ability to diagnose issues across hardware, OS, and networking stack.
• Experience performing component‑level hardware installation and repair.
• Physically capable of handling equipment (lifting up to 50 lbs / 23 kg, and performing extended physical tasks).
• Basic scripting ability in Bash or Python.
• Exposure to Git, Jenkins, or similar tools is a plus.

• Experience with HPC or GPU compute clusters.
• Familiarity with Infini Band and advanced networking environments.
• Hands‑on experience building or maintaining custom server systems or PC hardware.
• Prior exposure to AI/ML infrastructure or research lab environments.

• Bachelor’s degree preferred; equivalent hands‑on experience accepted.
• Practical experience is prioritized over formal education.