Senior Solutions Architect, AI Infrastructure Enterprise ISVs

NVIDIA
Santa Clara, Texas, New York, Washington
Workplace: HybridFull timeUSD 184,000 - 287,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Presentation","Communication","Problem-solving","Documentation","Collaboration"]

Partner with ISVs to deliver AI infrastructure solutions built on accelerated computing, guiding architecture reviews, technical deep dives, and production deployment for training, fine-tuning, inference, retrieval, and agentic AI workloads. Work with interdisciplinary teams across product, engineering, sales, developer relations, business development, and partners to design and optimize large-scale GPU clusters, orchestration, telemetry, and data center systems. Create reference architectures and technical playbooks while supporting customer engagements (up to 20%).

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Solutions Architect, AI Infrastructure Enterprise ISVs

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Partner with ISVs to deliver AI infrastructure solutions built on accelerated computing, guiding architecture reviews, technical deep dives, and production deployment for training, fine-tuning, inference, retrieval, and agentic AI workloads. Work with interdisciplinary teams across product, engineering, sales, developer relations, business development, and partners to design and optimize large-scale GPU clusters, orchestration, telemetry, and data center systems. Create reference architectures and technical playbooks while supporting customer engagements (up to 20%).
Location: Santa Clara, Texas, New York, Washington
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance.
  • •Advise on the design, build-out, and optimization of accelerated AI infrastructure, including large-scale clusters.
  • •Support infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations.
  • •Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance, and workload insight.
  • •Build repeatable reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos, and whitepapers.
Travel: Medium travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Key Requirements

  • •BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field (or equivalent experience).
  • •8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infrastructure, high-performance computing, or machine learning platforms.
  • •Strong experience designing, deploying, and operating accelerated computing infrastructure at scale.
  • •In-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD deployment pipelines.
  • •Understanding of data center networking technologies such as InfiniBand, Ethernet, and RDMA, including network configuration/performance tuning.
Experience:8+ yearsAI infrastructureAccelerated computingDistributed systemsCloud infrastructureHigh-performance computingMachine learning platforms
Education:Master's
Skills:PresentationCommunicationProblem-solvingDocumentationCollaboration
Tech Stack:AIAccelerated computingDistributed trainingInference servingModel deploymentInfiniBandEthernetRDMANetwork configurationNetwork performance tuningCluster orchestrationSchedulingAutomationCI/CDContainersObservabilityTelemetrySecurityOpenMPINCCL

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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