{"id":2000328,"url":"https://alion.io/job/radianarc-remote-technical-operations-deployment-engineer-gpuaicloud-infrastructure","title":"Remote Technical Operations & Deployment Engineer (GPU/AI/Cloud Infrastructure)","company":{"id":3908068,"name":"Radianarc","domain":"radianarc.com","url":"https://alion.io/company/radianarc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BGP","optional":false},{"name":"containerd","optional":false},{"name":"CUDA","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"KubeVirt","optional":false},{"name":"KVM","optional":false},{"name":"Linux","optional":false},{"name":"Loki","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"QEMU","optional":false},{"name":"VLAN","optional":false},{"name":"Zabbix","optional":false},{"name":"NVLink","optional":true},{"name":"Ubuntu","optional":true}],"status":"live","first_seen_at":"2026-05-29T17:21:07Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T23:09:02Z","board_verified":true,"closed_at":null,"days_open":147,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":146},"description":"About Radian Arc.\nWe’re specialists in outcome-optimized AI infrastructure - deploying, orchestrating and monetizing GPU compute where data, users and demand actually meet: inside telco networks, at the edge, and in core data centers. Not a generic AI platform. Not a consultancy. We’re the bridge between raw silicon and real-world results.\nWhat impact you will have\nMission: Install, validate, operate, and maintain regional and core GPU cloud deployments across datacenter environments.\nThis role owns the practical deployment and operational readiness of the platform stack in the field. It bridges infrastructure engineering, datacenter operations, networking, host systems, storage, and platform operations. The engineer is responsible for taking a validated architecture and BOM and turning it into a working production environment, including physical deployment coordination, rack and cabling validation, switch and host bring-up, firmware and BIOS validation, operating-system installation, GPU and DPU validation, storage integration, platform stack installation, acceptance testing, and operational handover.\nThe role is intentionally hands-on and cross-domain. It is not a pure datacenter technician role, and it is not a pure platform engineering role. It is the person who can work in a datacenter, understand cabling and optics, debug host and network issues, validate GPU servers, support platform installation, and coordinate with engineering when problems arise.\nThe role is especially important as the platform evolves from regional deployments toward HGX-based GPU systems, east-west fabrics, and core AI infrastructure. This profile is focused on actual installation, commissioning, maintenance, and operational readiness.\nWhat you’ll do\nDatacenter deployment and commissioning\nCoordinate physical deployment activities with datacenter providers, integrators, logistics teams, and internal engineering.\nValidate rack layouts, elevations, power feeds, airflow assumptions, cable paths, and labeling before installation.\nSupport rack-and-stack activities for GPU nodes, CPU nodes, storage nodes, switches, firewalls, routers, serial/OOB equipment, PDUs, and supporting infrastructure.\nValidate fibre and copper cabling against the deployment design, including OOB, north-south, east-west, storage, and management networks.\nValidate optics, transceivers, link speeds, breakout cables, port mappings, and redundancy assumptions.\nMaintain accurate as-built documentation, including rack elevations, cable maps, port maps, serial numbers, asset records, IP allocations, and change records.\nHost and hardware bring-up\nBring up GPU servers, platform servers, storage nodes, and supporting infrastructure.\nValidate BIOS, BMC, firmware, NIC, DPU, GPU, NVMe, RAID/HBA, and platform firmware versions.\nConfigure and validate BMC access using Redfish/IPMI and OOB management networks.\nValidate GPU visibility, PCIe topology, NUMA layout, thermals, power behavior, and hardware health.\nRun hardware acceptance tests, burn-in tests, GPU stress tests, network tests, and storage validation before handover.\nTroubleshoot hardware issues across servers, GPUs, DPUs, NICs, optics, cables, disks, memory, firmware, and BIOS.\nNetwork deployment support\nSupport deployment and validation of OOB, north-south, storage, and east-west networking.\nWork with networking engineering to apply and validate switch configurations.\nValidate BGP, ECMP, VLAN/VRF segmentation, EVPN/VXLAN where applicable, OVS/OVN integration, and routing reachability.\nValidate VyOS routers, OOB firewalls, transit routers, Citrix NetScaler/WAF, and customer connectivity.\nSupport RoCE/RDMA fabric validation for distributed AI workloads where applicable.\nTroubleshoot 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.\nSupport integration with NVIDIA Cumulus / Spectrum-X environments, and assist with Cisco or SONiC-based alternatives if those become part of the roadmap.\nPlatform stack installation and validation\nSupport installation and validation of the platform stack across regional and core deployments.\nInstall and validate host operating systems, kernel versions, NVIDIA drivers, Mellanox/NVIDIA OFED or inbox drivers, CUDA compatibility, Docker/containerd, KVM/QEMU, and platform agents.\nSupport CloudStack-based deployments and Kubernetes/KubeVirt-based deployments.\nValidate GPU passthrough, SR-IOV, BlueField NIC/DPU behavior, VM networking, and container networking.\nSupport Kubernetes node registration, GPU Operator validation, CSI validation, CNI validation, and node lifecycle workflows.\nSupport storage integration with StorPool, Weka, local NVMe, or other supported storage platforms.\nExecute acceptance tests and produce deployment readiness reports.\nOperational maintenance and Day-2 support\nPerform controlled maintenance activities such as firmware upgrades, switch upgrades, host OS updates, GPU driver updates, BIOS changes, and hardware replacements.\nSupport incident response for infrastructure issues affecting GPU nodes, hosts, networking, storage, or platform components.\nPerform root-cause analysis for deployment and operational failures.\nMaintain runbooks for installation, validation, upgrade, rollback, troubleshooting, and handover.\nWork with engineering to turn repeated operational issues into automation, better validation, or platform improvements.\nParticipate in on-call or escalation rotations for regional and core environments where appropriate.\nPlatform observability and validation\nEnsure telemetry is correctly configured for hosts, GPUs, DPUs, switches, storage, OOB devices, and platform components.\nValidate Zabbix, Prometheus, Grafana, Loki, DCGM/NVML, NVIDIA NetQ or equivalent telemetry sources.\nConfirm that deployment health checks, hardware alerts, performance dashboards, and operational alarms work before production handover.\nSupport performance baseline testing for GPU, network, storage, and host layers.\nAssist with NCP-related validation and benchmarking.\nCross-team coordination\nWork closely with the Senior Director of Infrastructure Operations.\nWork closely with Staff Network, Staff Storage, Sr Hardware/Infrastructure, Sr Platform, Sr Fleet Automation, Observability, Product Engineering, Sales Engineering, and Service Delivery roles.\nProvide field feedback into reference architectures, BOMs, rack layouts, cabling standards, deployment playbooks, and validation procedures.\nCoordinate with external vendors including datacenter providers, systems integrators, server vendors, storage vendors, NVIDIA, and networking vendors.\nAct as the practical field escalation point when architecture, BOM, datacenter conditions, and platform implementation do not align.\nTechnical Stack\nHardware and datacenter\nGPU servers: L40S, RTX 6000 Pro, H200, B200/B300-class systems, HGX systems, and future NVL72-style rack-scale systems.\nCPU/platform servers.\nStorage nodes and JBODs.\nPDUs, BMCs, serial/OOB, firewalls, routers, switches.\nRack layouts, power feeds, airflow, cold/hot aisle containment, cabling, optics.\nDTC/DLC cooling.\nHost and systems\nUbuntu Linux.\nLinux networking.\nBIOS/BMC/firmware lifecycle.\nRedfish, IPMI.\nNVIDIA drivers, CUDA, DCGM/NVML.\nMellanox/NVIDIA NICs, BlueField DPUs.\nKVM/QEMU, VFIO, PCI passthrough.\nDocker/containerd.\nNetworking\nNVIDIA Spectrum/Cumulus.\nVyOS.\nOVS/OVN.\nBGP, ECMP, VLAN, VRF, EVPN/VXLAN.\nRoCE/RDMA.\nSR-IOV.\nCitrix NetScaler / WAF.\nOOB and break-glass access.\nPlatform\nKubernetes.\nKubeVirt.\nNVIDIA GPU Operator.\nCSI/CNI integrations.\nStorPool, Weka, local NVMe\nObservability\nZabbix.\nPrometheus.\nGrafana.\nLoki.\nDCGM Exporter.\nNVIDIA NetQ or equivalent.\nLogs, metrics, hardware health, and deployment validation dashboards.\nWhat you'll need\nStrong hands-on experience deploying and maintaining datacenter infrastructure.\nExperience with GPU, HPC, AI cloud, private cloud, or high-density compute environments, including both air-cooled and liquid-cooled (nice to have) deployments. \nFamiliarity with NVL72-style rack-scale architecture, NVLink/NVSwitch domains, in-rack networking, high-density power delivery, and OEM/NVIDIA validation requirements.\nComfortable working across physical infrastructure, Linux hosts, networking, storage, and platform software.\nExperience bringing up servers from bare metal through production readiness.\nExperience with rack layouts, cabling, optics, transceivers, power, OOB management, and datacenter handover.\nStrong Linux troubleshooting skills.\nPractical networking knowledge across VLANs, VRFs, BGP, ECMP, OVS/OVN, and routing.\nExperience with GPU servers, NVIDIA drivers, firmware, PCIe topology, and hardware validation..\nStrong documentation discipline and ability to produce accurate as-built records and runbooks.\nAbility to validate practical datacenter readiness for current and next-generation AI infrastructure, including power density, cooling model, rack depth/width, floor loading, containment, serviceability, and maintenance access.\nPersonal qualities:\nVery hands-on and practical.\nComfortable working in datacenters and remotely with smart-hands teams.\nStrong troubleshooting mindset across hardware, network, host, and platform layers.\nHigh attention to detail around cabling, labeling, asset records, and validation.\nCalm under pressure during deployment windows and customer-impacting incidents.\nAble to distinguish between a temporary field workaround and a permanent engineering fix.\nGood communicator who can explain field issues clearly to engineering and leadership.\nWhat we offer\nAttractive compensation package reflecting your expertise and experience.\nA great work environment characterised by friendliness, international diversity, flexibility, and a hybrid-friendly approach.\nYou'll be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution.\nOur job titles may span more than one job level. The actual base pay is dependent on a number of factors, such as transferable skills, work experience, business needs and market demands.\nOur inclusive responsibility\nRadian Arc is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.","description_format":"text","description_chars":10579,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cloud Gaming","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-10-07T11:08:53Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.213,"p_room":0.28,"age_days":146,"expected_fill_days":31,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/radianarc-remote-technical-operations-deployment-engineer-gpuaicloud-infrastructure","json_url":"https://alion.io/job/radianarc-remote-technical-operations-deployment-engineer-gpuaicloud-infrastructure.json","meta":{"generated_at":"2026-10-24T02:05:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3378,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3908068},"rest":"https://alion.io/mcp/rest/get_company?id=3908068"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fradianarc-remote-technical-operations-deployment-engineer-gpuaicloud-infrastructure"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fradianarc-remote-technical-operations-deployment-engineer-gpuaicloud-infrastructure"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fradianarc-remote-technical-operations-deployment-engineer-gpuaicloud-infrastructure"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/radianarc-remote-technical-operations-deployment-engineer-gpuaicloud-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fradianarc-remote-technical-operations-deployment-engineer-gpuaicloud-infrastructure"}]}