nebius · New Jersey, United States
Skills: Python, Docker
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Location: Vineland, NJ About The Role Nebius is seeking a Data Center Support Engineer to support large scale bare metal GPU infrastructure powering AI workloads. This role is responsible for operating, troubleshooting, and maintaining production infrastructure across servers, Linux systems, networking, firmware, drivers, and physical data center components. You will serve as a senior technical escalation point between data center technicians, infrastructure engineering, network engineering, systems engineering, and customer facing teams. The ideal candidate is hands on, comfortable in Linux, strong in hardware diagnostics, and able to troubleshoot complex issues across multiple layers of the infrastructure stack. What You’ll Do Support and troubleshoot production bare-metal GPU infrastructure across Nebius data center environments. Diagnose high-priority issues across Linux, hardware, firmware, BIOS, drivers, networking, storage, optics, cabling, and physical infrastructure. Perform hardware diagnostics, component replacement, firmware updates, BIOS configuration, break/fix, and infrastructure maintenance. Use Linux command-line tools, system logs, BMC data, and hardware health signals to identify root cause. Partner with data…
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