Senior Cloud Infrastructure and Network Operations Solutions Architect

NVIDIA, UK, Reading

The role

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!

What you need

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 topology and 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 Linux and/or SONiC, ConnectX and BlueField NICs/DPUs, and NVLink/NVSwitch systems—ideally including NMX-C / NMX-M partition operations on NVL72-class platforms.
Linux & Switch Platforms: Deep knowledge of Linux (RedHat, Ubuntu) and switch operating systems, network OS internals, host networking and OS-level security, together with an understanding of the storage and compute traffic patterns of HPC/AI clusters.
Automation, GitOps & Observability: Proficiency in Python and 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 ability to measure and improve MTBI and job goodput on large GPU clusters—fault detection, drain and remediation workflows, SLO/error-budget definition and post-incident review—combined with a strong consultative background leading architectural reviews and presenting to executive stakeholders.

Ways to Stand Out from the Crowd

Experience operating Kubernetes networking in GPU clusters—CNI plugins, multi-network attachment, SR-IOV and RDMA device plugins—and with the NVIDIA Network and GPU Operators for automated resource lifecycle management.
Expertise with DOCA and DPU infrastructure services (e.g. DOCA DPF) for offloaded networking, security and storage services.
Familiarity with fabric and GPU health telemetry—DCGM and XID diagnostics, link-level and switch counters, node-level health agents, and fleet-wide reliability intelligence.
Knowledge of large-scale training traffic behaviour: collective communication (NCCL) tuning, rail alignment, and diagnosing network-bound performance regressions in distributed training jobs.
Experience delivering multi-tenant network isolation for GPU-as-a-service estates—VRF/VLAN/EVPN segmentation, tenant partitioning and secure fabric handover between tenants.

Senior Cloud Infrastructure and Network Operations Solutions Architect

The role

Senior Cloud Infrastructure and Network Operations Solutions Architect

The role

What you will do

What you need

Ways to Stand Out from the Crowd

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