Senior Technical Operations & Deployment Engineer (GPU Cloud Infrastructure)

Location: Europe

Company

Radian Arc provides an infrastructure-as-a-service platform for cloud gaming, artificial intelligence, and machine learning applications inside telecommunications carrier networks.

What you will do

• Coordinate physical deployment, rack-and-stack activities, cabling validation, asset tracking, and datacenter handover for GPU, compute, storage, and network infrastructure.
• Bring up servers and validate BIOS, BMC, firmware, NIC, DPU, GPU, NVMe, RAID, PCIe topology, thermals, and hardware health.
• Support OOB, north-south, storage, and east-west network deployment, including BGP, ECMP, VLAN/VRF, EVPN/VXLAN, OVS/OVN, and RoCE/RDMA validation.
• Install and validate Linux hosts, NVIDIA drivers, CUDA, containers, KVM/QEMU, CloudStack, Kubernetes, KubeVirt, GPU Operator, and storage integrations.
• Perform maintenance, incident response, root-cause analysis, acceptance testing, performance baselining, and operational readiness reporting.
• Maintain telemetry, dashboards, runbooks, as-built records, and deployment procedures while coordinating with engineering and external infrastructure vendors.

Requirements

• Strong hands-on experience deploying and maintaining datacenter infrastructure from bare metal through production readiness.
• Experience with GPU, HPC, AI cloud, private cloud, or high-density compute environments; familiarity with HGX, NVL72-style architectures, NVLink/NVSwitch, power density, and cooling requirements.
• Practical expertise across Linux troubleshooting, GPU servers, NVIDIA drivers, firmware, PCIe topology, networking, storage, and OOB management.
• Knowledge of VLANs, VRFs, BGP, ECMP, OVS/OVN, routing, cabling, optics, transceivers, and datacenter handover.
• Strong documentation skills, including accurate as-built records, asset records, validation reports, and operational runbooks.
• Ability to troubleshoot across hardware, network, host, and platform layers and communicate field issues clearly to engineering and leadership.

Nice to have

• Experience with liquid-cooled GPU deployments and next-generation high-density AI infrastructure.

Culture & Benefits

• Attractive compensation package based on expertise and experience.
• Friendly, internationally diverse, flexible, and hybrid-friendly work environment.
• Opportunity to join a fast-growing scale-up focused on GPU-based edge computing and AI infrastructure.
• Career development opportunities as the platform evolves toward core AI infrastructure.