At a Glance
- Tasks: Lead the design and operation of cutting-edge cloud infrastructure for AI and HPC systems.
- Company: Join NVIDIA, a leader in AI technology and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to work on groundbreaking projects.
- Why this job: Be at the forefront of AI technology and make a significant impact on global data centres.
- Qualifications: 5+ years in data centre networking and strong problem-solving skills required.
The predicted salary is between 63000 - 77000 £ per year.
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 Infini Band/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, SONi C, 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, SONi C 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: Infini Band and UFM bring‑up, Spectrum‑X/Ro CE 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/Ph D 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—Infini Band and Ro CE/Ethernet—including topologyand routing design(fat‑tree, rail‑optimised), congestion control, lossless/Qo S configuration, and troubleshooting across NICs, switches and high‑speed interconnects.
- NVIDIA Fabric
Technologies: Hands‑on experience with Infini Band and UFM, Spectrum‑X Ethernet, Cumulus Linuxand/or SONi C, Connect X and Blue Field NICs/DPUs, and NVLink/NVSwitchsystems—ideally including NMX‑C / NMX‑M partition operationson NVL72‑class platforms!
- Linux & Switch
Platforms: Deep knowledge of Linux (Red Hat, 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, Git Ops & Observability: Proficiency in Pythonand Bash scripting, configuration management and Infrastructure‑as‑Code tools (e. g.
Ansible, Terraform), Git Ops‑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.
Waysto Stand Outfromthe
Crowd
- Experience operating Kubernetes networking in GPU clusters—CNI plugins, multi‑network attachment, SR‑IOVand RDMA device plugins—andwiththe NVIDIANetworkand GPUOperatorsforautomatedresourcelifecyclemanagement.
- Expertisewith DOCAand DPUinfrastructure services (e. g. DOCADPF)foroffloadednetworking, securityandstorageservices.
- Familiaritywithfabricand GPUhealthtelemetry—DCGMand XIDdiagnostics, link‑levelandswitchcounters, node‑levelhealthagents, andfleet‑widereliabilityintelligence.
- Knowledgeoflarge‑scaletrainingtrafficbehaviour: collectivecommunication(NCCL)tuning, railalignment, and diagnosing network‑boundperformanceregressionsindistributedtrainingjobs.
- Experience deliveringmulti‑tenant network isolationfor GPU‑as‑a‑serviceestates—VRF/VLAN/EVPNsegmentation, tenantpartitioningandsecurefabrichandoverbetweentenants.
- #J-18808-Ljbffr
Senior Cloud Infrastructure and Network Operations Solutions Architect in Reading employer: NVIDIA Corporation
NVIDIA stands out as an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among talented professionals. With a strong commitment to diversity and inclusion, employees benefit from competitive salaries, comprehensive benefits, and ample opportunities for personal and professional growth, all while contributing to groundbreaking advancements in AI and technology. Joining NVIDIA means being part of a mission-driven team that values creativity and empowers individuals to make a significant impact in the tech industry.
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We think this is how you could land Senior Cloud Infrastructure and Network Operations Solutions Architect in Reading
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Cloud Infrastructure and Network Operations Solutions Architect in Reading
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at NVIDIA Corporation.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NVIDIA Corporation and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at NVIDIA Corporation
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If NVIDIA Corporation uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
