Data Center Engineer

Our client is a fast-scaling AI infrastructure operator building out next-generation GPU compute campuses across multiple European countries, supporting some of the largest AI training and inference workloads in the region.
They're in the middle of an aggressive multi-site build-out, six deployments across four countries, and need experienced network engineers who can design and operate the high-speed fabric that ties tens of thousands of GPUs together.
The Role
You'll own the design, build, and operation of the network fabric connecting large-scale GPU clusters, including InfiniBand / NVIDIA Spectrum-X fabrics, plus the BGP routing at the network edge that connects these sites to the wider internet and to each other.
This is hands-on, high-stakes infrastructure work: the fabric you build directly determines how efficiently thousands of GPUs can train and serve AI models.
What You'll Do
Design, deploy, and operate InfiniBand and/or NVIDIA Spectrum-X fabric across multiple GPU cluster deployments
Own BGP routing and edge network architecture across sites in Germany, the Netherlands, and Spain
Work directly with platform and facility engineering teams during new site bring-up, ensuring fabric performance meets the demands of GB200/GB300-class GPU hardware
Troubleshoot fabric-level performance issues affecting distributed training and inference workloads
Build and maintain network automation to manage fabric configuration at scale
Participate in an on-call rotation supporting live production fabric across sites
What We're Looking For
Experience with InfiniBand and/or NVIDIA Spectrum-X fabric design and operation at scale
Strong BGP and EVPN routing expertise, ideally including spine-leaf architectures
Experience with fabric management tooling (e.g. NVIDIA UFM or equivalent)
Network automation experience (Python, Ansible, or similar)
Comfort working in a fast-moving, multi-site build-out environment with tight deadlines
Prior experience at a hyperscaler, neocloud/GPU-cloud provider, or NVIDIA/Mellanox background is a strong plus.
Nice to Have
Experience with NVIDIA DGX/HGX or GB200/GB300-class platform deployments
Background supporting AI/ML training or inference infrastructure specifically
Why This Role
This is a rare opportunity to build fabric-level infrastructure for genuinely frontier-scale AI compute - tens of thousands of GPUs, exabyte-scale storage, and the newest hardware generation, during a period of hypergrowth, with real ownership over the network architecture from day one.
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