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NVIDIA

Senior Network Solution Architect – AI Fabrics

NVIDIA

. Partner with AI-lab customers on large data center GPU and networking deployments .

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in network engineering and architecture for data center environments, with a strong focus on troubleshooting, customer collaboration, and deployment of advanced GPU and networking solutions.

Highest-signal resume keywords
Expert-Level TroubleshootingDeep Knowledge Of BGP And OSPFExperience With InfiniBand Or RoCEHands-On Experience With NVIDIA GPUsStrong Time Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Network EngineeringData Center NetworkingPacket-Level TroubleshootingLinux System SoftwarePythonBashC/C++Cluster OperationsFabric DesignVirtualization
Soft Skills
Excellent Written CommunicationExcellent Verbal CommunicationAbility To Context-Switch
Tools & Technologies
NVIDIA GPUsNICsDPUsARM-Based CPU PlatformsCloud Networking ConceptsHigh-Density Switching
Industry Keywords
Data CenterCloud EnvironmentsSupercomputingField EngineeringPre-Sales Experience

Tech Stack

Tools & technologies
CloudLinuxPythonSwitchingC++

About the role

Key responsibilities & impact
  • Partner with AI-lab customers on large data center GPU and networking deployments
  • Guide architecture decisions across network, compute, and storage, including fabric design
  • Support on-site bring-up of server, network, and cluster infrastructure in customer data centers
  • Demonstrate expertise in Spectrum-X, BlueField DPU, InfiniBand, RoCE, and related advanced GPU and network systems
  • Run technical account reviews covering roadmap alignment, cluster issues, feature discussions, and technology introductions
  • Capture customer requirements and translate them into feedback for product, architecture, and engineering teams
  • Analyze and debug configuration and performance issues in RoCE and InfiniBand environments
  • Work across NICs, switches, Linux, and system software to deliver reliable AI clusters
  • Identify and shape project opportunities for NVIDIA GPUs, networking, and software
  • Collaborate with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes
  • Build targeted proofs of concept showcasing NVIDIA’s networking stack in real customer environments
  • Travel occasionally, approximately 20%, for customer site visits and industry events

Requirements

What you’ll need
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or equivalent experience
  • 6+ years of hands-on network engineering experience in data center or cloud environments
  • Expert-level troubleshooting of data center networks, including packet-level, control plane, and fabric behavior
  • Deep knowledge of BGP, OSPF, and L2/L3 switching in large-scale data center or cloud networks
  • Experience with high-density switching at cloud or hyperscale preferred
  • Experience with InfiniBand or RoCE is a major plus
  • Understanding of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers
  • Strong time management and ability to context-switch across multiple customers and projects
  • Excellent written and verbal communication, including design documents, customer presentations, and root-cause summaries
  • Experience in Python, Bash, or C/C++ for network automation, validation, and debugging preferred
  • Hands-on experience with NVIDIA GPUs, NICs, DPUs, or ARM-based CPU platforms preferred
  • Pre-sales, post-sales, field engineering, or consulting experience with external enterprise or cloud customers preferred
  • Direct experience bringing up and operating large clusters or supercomputing environments preferred
  • Familiarity with virtualization, containers, and cloud networking concepts preferred

Benefits

Comp & perks
  • Equity
  • Benefits
  • Remote work location
  • Conferencing tools
  • Occasional travel to customer sites and industry events