Senior Solutions Architect - AI Infrastructure

RemoteSeniorPosted Aug 17, 2026

GPUNVLinkAIHPCCloudNetworkingLinuxPython+13 more

About this role

NVIDIA seeks a Senior Solutions Architect to design next-generation GPU-based AI supercomputers and enterprise infrastructure. You'll bridge GPU/NVLink technology between engineering and field teams, working on cluster design, performance modeling, and deployments for cloud providers and hyperscalers.

Must have

BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field

8+ years of experience in cluster design, validation, and issue resolution on GPU and HPC clusters

Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure

Ability to translate sophisticated engineering concepts into customer-ready documentation and diagrams

Expertise in driving customer and partner issues to closure with product and engineering teams

Ability to handle multi-functional communications across customer, product, support, and engineering teams

Technologies

PythonAWSAzureDockerLinuxGCPMachine learningCloudAIData scienceDeep learningKubernetesNVLinkHPCInfiniBandNetworkingEthernetDistributed systemsGPUMPINCCL

Responsibilities

Partner with NVIDIA Cloud Partners in GPU cluster design and networking architecture

Guide partners in cluster design weighing principles and situational limitations for optimal GPU clusters

Work closely with partners to ensure successful first deployments with new products and network topologies

Feedback customer and field perspectives on cluster design back to internal engineering teams

Perform hands-on debugging of cluster design, configuration, and performance issues

Support NPI customer deployments with new GPU and networking architectures

Benefits

EquityFlexible time offTraining and career developmentPaid parental leaveHealth insuranceDental insuranceVision insuranceRetirement benefits with matchCompetitive salary and stock option plan