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Senior Cloud Infrastructure and Network Operations Solutions Architect

Remote from Spain·Added 2 days ago

NVIDIA

20 open roles

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Overview

Job details

Fully remote
Per the ad.

Requirements

Have the right to work in Spain
NVIDIA doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Have 5+ years of experience
Senior-level role.
University degree
“BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, or equivalent experience.” — per the ad.

Requirements

What we're looking for

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.

Nice to have

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.

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!

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 do

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-and act as the technical leader for assigned accounts, running structured knowledge transfer and producing runbooks so partner teams can operate advanced fabric configurations independently.

Hiring process

3 steps2 interviewsa matter of weeks from the first interview in all

Search and apply
Phone interviews
Phone call
Full-time candidates typically start with phone interviews.
Virtual or in-person interviews
With hiring manager, team members and employees from other groups · 30–60 min
One-on-one, small-group or panel interviews with the hiring manager, team members and people from other groups; an onsite in-person interview at an office is required before an offer.
Insider Chat
With a community resource group member · 15 min · Not every role
An optional 15-minute conversation with a community resource group member that does not influence the hiring decision.
Decision and offer

Applicants selected to move forward hear from recruiting within a couple of weeks.
Most candidates have a decision within weeks of their first interview.
Technical candidates may complete coding exercises on HackerRank.

About NVIDIA

NVIDIA is a global technology company that designs and manufactures graphics processing units (GPUs) and system-on-a-chip units for gaming, professional visualization, data centers, and artificial intelligence. Founded in 1993, NVIDIA has grown into a multinational corporation with a market value exceeding $1 trillion, employing over 26,000 people worldwide. The company is a household name in the tech industry, powering everything from gaming consoles to the world's most advanced AI supercomputers.

In Spain, NVIDIA has a significant presence with offices in Madrid and Barcelona, focusing on sales, developer relations, and solutions architecture for the Southern European and EMEA regions. The company is known for a high-performance, innovation-driven culture that attracts top engineering talent globally. For international professionals, NVIDIA offers competitive compensation, a strong brand name, and the opportunity to work on cutting-edge AI and HPC technologies, making it a highly attractive employer for those looking to relocate to Spain.

Industry: Technology
Founded: 1993
Employees: 26,000–30,000
Headquarters: Santa Clara, USA
In Spain: Madrid, Barcelona
Website: nvidia.com

Good to know if you are moving

NVIDIA has offices in Madrid and Barcelona, with a strong focus on Southern Europe and EMEA markets.
The company is a global leader in AI computing, offering engineers the chance to work on cutting-edge technologies like CUDA, cuDNN, and the NVIDIA AI Enterprise platform.
NVIDIA's work culture is known for being fast-paced, innovative, and performance-driven, with a strong emphasis on technical excellence.
The company offers competitive compensation and benefits packages, and is consistently rated as one of the best places to work in the tech industry.
For international hires, NVIDIA provides visa sponsorship and relocation support, making it a viable option for professionals looking to move to Spain.

All open roles at NVIDIA