Senior Cloud Infrastructure and Network Operations Solutions Architect

NVIDIA Corporation; Reading; On-site; GBP 120,000 - 180,000; Full time

Job summary

NVIDIA Corporation seeks a Senior Network and Fabric Operations Solutions Architect to drive Day 2 fabric operations for large GPU estates. You will own NVLink/NVSwitch partitioning, manage Cumulus Linux/SONiC-based fabrics, and coordinate upgrades while ensuring production workloads stay healthy.

You will validate InfiniBand/UFM, Spectrum-X Ethernet, and multi-rack deployments, delivering high reliability, measurable MTBI improvements, and strong consultative leadership to executive

Qualifications

• BS/MS/PhD in CS/EE/Physics or equivalent experience.
• 5+ years in data centre networking, fabric engineering or large-scale operations.
• Deep understanding of InfiniBand, RoCE/Ethernet, topology and congestion control.
• Hands-on with InfiniBand/UFM, Spectrum-X, Cumulus Linux/SONiC, and NVLink/NVSwitch.
• Strong Linux knowledge, switch OS concepts, and host networking.
• Python and Bash scripting; IaC: Ansible, Terraform; observability with Grafana/Prometheus.

Responsibilities

• Own Day 2 fabric operations across NVIDIA partner fleets with multi-tenant isolation.
• Lead switch software lifecycle, upgrades and hardware-SSD/CPLD rollout campaigns.
• Support Day 1 validation: InfiniBand bring-up, UFM config, routing and QoS checks.
• Drive reliability with telemetry, MTBI/goodput, and root-cause analysis.
• Provide consultative guidance across fabric stack and runbooks for partner teams.

Skills

Data center networking

InfiniBand RDMA

Linux networking

Python scripting

GitOps

Kubernetes networking

Observability

Education

BS/MS/PhD in CS/EE/Physics

Tools

Cumulus Linux

SONiC

InfiniBand

NVLink/NVSwitch

Kubernetes

Grafana

Prometheus

UFM

Spectrum-X

NVIDIA DOCA/DPU

Job description

NVIDIA is looking for a Senior Network and Fabric Operations Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centres. Join the team building and advising on the networks behind many of the largest and fastest AI/HPC systems in the world!

We are looking for someone who combines deep networking expertise with strong consulting and communication skills. This role will engage directly with customers, partners and cross-functional teams to assess, architect and operate the compute, storage and scale-up fabrics that underpin large GPU estates—serving as both a trusted advisor and a hands‑on technical leader. You will own the fabric side of NVIDIA’s Cloud Partner (NCP) operating model across the full Day 1 to Day 2 lifecycle: from InfiniBand/UFM and Ethernet validation at handover, through NVLink partition operations, to a production‑stable fabric running at maximum goodput. NCP estates are open‑source‑first and heterogeneous—Cumulus Linux, SONiC, Spectrum‑X, DOCA/DPU services, upstream Kubernetes and Prometheus/Grafana—so this role is deliberately tool‑agnostic: you will meet each partner on the fabric they actually run rather than on a single proprietary product.

What You’ll Be Doing:

• Own Day 2 fabric operations across NCP fleets: NVLink/NVSwitch partition management (NMX‑C / NMX‑M) on GB200/GB300 NVL72‑class systems, maintenance‑partition isolation, and safe partition‑change workflows for multi‑tenant estates.
• Own the switch software and firmware lifecycle—Cumulus Linux, SONiC and switch‑OS upgrades, CPLD and field‑notice rollout campaigns—with staged, tested upgrade plans that keep partner fabrics off stale releases without disrupting production workloads.
• Support Day 1 fabric validation and acceptance: InfiniBand and UFM bring‑up, Spectrum‑X/RoCE Ethernet configuration, cabling and link‑health verification, routing and congestion‑control validation, and multi‑day, multi‑rack burn‑in against agreed MTBI and goodput targets.
• Minimise the time from cluster handover to first production workload, removing duplicated fabric validation across hardware bring‑up, managed‑service intake and the partner’s own network operations teams.
• Drive fabric reliability at fleet scale: telemetry for link flaps, retransmits and congestion, fault detection through to remediation, root‑cause analysis of network‑induced job failures, and measurable improvement of MTBI and job goodput.
• Provide consultative guidance and hands‑on troubleshooting across the fabric stack—NICs and DPUs, switch OS, routing and congestion control, host networking and Kubernetes network integration—andactasthetechnicalleaderforassignedaccounts,runningstructuredknowledgetransferandproducingrunbookssopartnerteamscanoperateadvancedfabricconfigurationsindependently.

What We Need to See:

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, or equivalent experience.
• 5+years of professional experience in data centre networking, fabric engineering or large‑scale network operations roles.
• Fabric & Data Centre Networking: Deep understanding of data centre network architectures and RDMA fabrics—InfiniBand and RoCE/Ethernet—including topologyand routing design(fat‑tree, rail‑optimised), congestion control, lossless/QoS configuration, and troubleshooting across NICs, switches and high‑speed interconnects.
• NVIDIA Fabric Technologies: Hands‑on experience with InfiniBand and UFM, Spectrum‑X Ethernet, Cumulus Linuxand/or SONiC, ConnectX and BlueFieldNICs/DPUs, and NVLink/NVSwitchsystems—ideally including NMX‑C / NMX‑M partition operationson NVL72‑class platforms!
• Linux & Switch Platforms: Deep knowledge of Linux (RedHat, Ubuntu) and switch operating systems, network OS internalsand host networkingand OS‑level security, together with an understandingof the storage and compute traffic patternsof HPC/AI clusters.
• Automation, GitOps & Observability: Proficiency in Pythonand Bash scripting, configuration management and Infrastructure‑as‑Code tools (e.g. Ansible, Terraform), GitOps‑based network configuration and firmware/upgrade management for large fleets, and observability stacks (Grafana, Loki, Prometheus) applied to fabric telemetry.
• Fleet Reliability& Customer Engagement: Demonstrated abilityto measure and improve MTBI and goodput on large GPU clusters—fault detection, drain and remediation workflows, SLO/error‑budget definition and post‑incident review–combining strong consultative background leading architectural reviews and presenting to executive stakeholders.

WaystoStandOutfromtheCrowd:

• Experience operatingKubernetes networking in GPU clusters—CNI plugins, multi‑network attachment, SR‑IOVandRDMA device plugins—andwiththeNVIDIANetworkandGPUOperatorsforautomatedresourcelifecyclemanagement.
• ExpertisewithDOCAandDPUinfrastructure services (e.g. DOCADPF)foroffloadednetworking,securityandstorageservices.
• FamiliaritywithfabricandGPUhealthtelemetry—DCGMandXIDdiagnostics,link‑levelandswitchcounters,node‑levelhealthagents,andfleet‑widereliabilityintelligence.
• Knowledgeoflarge‑scaletrainingtrafficbehaviour:collectivecommunication(NCCL)tuning,railalignment, and diagnosing network‑boundperformanceregressionsindistributedtrainingjobs.
• Experience deliveringmulti‑tenant network isolationforGPU‑as‑a‑serviceestates—VRF/VLAN/EVPNsegmentation,tenantpartitioningandsecurefabrichandoverbetweentenants.