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. Roles and Responsibilities Rack, stack, cable, and maintain servers and AI lab/data center hardware. Troubleshoot and repair GPU/CPU servers, compute clusters, and networking (including InfiniBand). 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. Required Skills & Experience 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. Preferred Qualifications Experience with HPC or GPU compute clusters. Familiarity with InfiniBand 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. Education Bachelor’s degree preferred; equivalent hands‑on experience accepted. Practical experience is prioritized over formal education. #J-18808-Ljbffr