Data Center Engineer

European Tech Recruit; España; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

European Tech Recruit seeks an experienced Network Engineer to design, build, and operate the fabric connecting large GPU clusters across multiple European sites. You will manage InfiniBand and Spectrum-X fabrics, oversee BGP routing at the network edge, and partner with platform/ facility teams to ensure performance meets demanding AI workloads.

You will work hands-on in a fast-moving environment with tight deadlines, contributing to fabric automation and on-call support for production networks

Formación

• Experience designing and operating InfiniBand and NVIDIA Spectrum-X fabrics at scale.
• Strong BGP and EVPN routing expertise, including spine-leaf architectures.
• Experience with fabric management tooling such as NVIDIA UFM or equivalents.
• Network automation experience using Python, Ansible, or similar.
• Comfort working in a fast-moving, multi-site build-out across Europe.

Responsabilidades

• Design, deploy, and operate InfiniBand and Spectrum-X fabric across GPU deployments.
• Own BGP routing and edge network architecture across sites in Europe.
• Collaborate with platform and facility teams during site bring-up to meet hardware performance needs.
• Troubleshoot fabric-level performance impacting distributed training and inference workloads.
• Build and maintain network automation for fabric configuration at scale.
• Participate in on-call rotation for production fabric support.

Conocimientos

InfiniBand fabric design

BGP & EVPN routing

Network automation (Python/Ansible)

Fabric management tooling

Multi-site deployment experience

Herramientas

NVIDIA UFM

Descripción del empleo

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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