GPU/AI infrastructure deployment & ops engineer

Radian ArcNetherlandsRemoteFull-time4 weeks ago

Radian Arc is seeking a hands-on GPU/AI infrastructure deployment and operations engineer to install, validate, and maintain regional and core GPU cloud deployments in datacenter environments. The role bridges datacenter operations, networking, host systems, storage, and platform operations, requiring strong Linux troubleshooting and practical networking knowledge. This is a remote full-time position based in the Netherlands.

What you'll do

Coordinate physical deployment activities with datacenter providers, integrators, logistics teams, and internal engineering
Validate rack layouts, elevations, power feeds, airflow assumptions, cable paths, and labeling before installation
Support rack-and-stack activities for GPU nodes, CPU nodes, storage nodes, switches, firewalls, routers, serial/OOB equipment, PDUs, and supporting infrastructure
Validate fibre and copper cabling against the deployment design, including OOB, north-south, east-west, storage, and management networks
Validate optics, transceivers, link speeds, breakout cables, port mappings, and redundancy assumptions
Maintain accurate as-built documentation, including rack elevations, cable maps, port maps, serial numbers, asset records, IP allocations, and change records
Bring up GPU servers, platform servers, storage nodes, and supporting infrastructure
Validate BIOS, BMC, firmware, NIC, DPU, GPU, NVMe, RAID/HBA, and platform firmware versions
Configure and validate BMC access using Redfish/IPMI and OOB management networks
Validate GPU visibility, PCIe topology, NUMA layout, thermals, power behavior, and hardware health
Run hardware acceptance tests, burn-in tests, GPU stress tests, network tests, and storage validation before handover
Troubleshoot hardware issues across servers, GPUs, DPUs, NICs, optics, cables, disks, memory, firmware, and BIOS
Support deployment and validation of OOB, north-south, storage, and east-west networking
Work with networking engineering to apply and validate switch configurations
Validate BGP, ECMP, VLAN/VRF segmentation, EVPN/VXLAN where applicable, OVS/OVN integration, and routing reachability
Validate VyOS routers, OOB firewalls, transit routers, Citrix NetScaler/WAF, and customer connectivity
Support RoCE/RDMA fabric validation for distributed AI workloads where applicable
Troubleshoot practical network issues such as link flaps, optics issues, incorrect polarity, MTU mismatches, route leaks, VLAN errors, packet loss, PFC/ECN issues, and fabric congestion
Support integration with NVIDIA Cumulus / Spectrum-X environments, and assist with Cisco or SONiC-based alternatives if those become part of the roadmap
Support installation and validation of the platform stack across regional and core deployments
Install and validate host operating systems, kernel versions, NVIDIA drivers, Mellanox/NVIDIA OFED or inbox drivers, CUDA compatibility, Docker/containerd, KVM/QEMU, and platform agents
Support CloudStack-based deployments and Kubernetes/KubeVirt-based deployments
Validate GPU passthrough, SR-IOV, BlueField NIC/DPU behavior, VM networking, and container networking
Support Kubernetes node registration, GPU Operator validation, CSI validation, CNI validation, and node lifecycle workflows
Support storage integration with StorPool, Weka, local NVMe, or other supported storage platforms
Execute acceptance tests and produce deployment readiness reports
Perform controlled maintenance activities such as firmware upgrades, switch upgrades, host OS updates, GPU driver updates, BIOS changes, and hardware replacements
Support incident response for infrastructure issues affecting GPU nodes, hosts, networking, storage, or platform components
Perform root-cause analysis for deployment and operational failures
Maintain runbooks for installation, validation, upgrade, rollback, troubleshooting, and handover
Work with engineering to turn repeated operational issues into automation, better validation, or platform improvements
Participate in on-call or escalation rotations for regional and core environments where appropriate
Ensure telemetry is correctly configured for hosts, GPUs, DPUs, switches, storage, OOB devices, and platform components
Validate Zabbix, Prometheus, Grafana, Loki, DCGM/NVML, NVIDIA NetQ or equivalent telemetry sources
Confirm that deployment health checks, hardware alerts, performance dashboards, and operational alarms work before production handover
Support performance baseline testing for GPU, network, storage, and host layers
Assist with NCP-related validation and benchmarking
Work closely with the Senior Director of Infrastructure Operations
Work closely with Staff Network, Staff Storage, Sr Hardware/Infrastructure, Sr Platform, Sr Fleet Automation, Observability, Product Engineering, Sales Engineering, and Service Delivery roles
Provide field feedback into reference architectures, BOMs, rack layouts, cabling standards, deployment playbooks, and validation procedures
Coordinate with external vendors including datacenter providers, systems integrators, server vendors, storage vendors, NVIDIA, and networking vendors
Act as the practical field escalation point when architecture, BOM, datacenter conditions, and platform implementation do not align

What you need

Must-have

Ubuntu LinuxLinux networkingBIOSBMCFirmware lifecycleRedfishIPMINVIDIA drivers

Nice-to-have

Liquid-cooled deployments

Soft skills

Hands-onPracticalTroubleshooting mindsetAttention to detailCalm under pressureGood communicator

GPUAI infrastructureDatacenterDeploymentOperationsLinuxNetworkingKubernetesRemoteFull-time

/What you'll do

/What you need

Must-have

Nice-to-have

Soft skills

What you'll do

What you need