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NVIDIA

Senior Solutions Architect, AI Factory Infrastructure

NVIDIA

. Help customers with their AI factory journey, including workflow pipelines and performance optimization .

Posted 4/21/2026full-timeRemote • California, North Carolina, Washington • 🇺🇸 United StatesSenior💰 $224,000 - $431,250 per yearWebsite

Tech Stack

Tools & technologies
CloudKubernetesLinuxPython

About the role

Key responsibilities & impact
  • Help customers with their AI factory journey, including workflow pipelines and performance optimization
  • Focus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows
  • Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines
  • Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem
  • Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity
  • Providing expertise in infrastructure workflows, including hardware, coordination of workload processes, and application tuning
  • Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution
  • Work directly with key customers to understand workflows and share feedback with internal product and engineering teams

Requirements

What you’ll need
  • Bachelor's degree or equivalent experience in Engineering or Computer Science
  • 15+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise
  • An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads
  • Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, and tools built for cloud environments
  • Strong experience with Linux system environments, using Linux as a core operating system for IT workload delivery
  • Confident with Python programming, specifically interfacing with IT infrastructure through API, SDKs and libraries
  • Mastery of how software and hardware work together to optimize applications
  • Confident experience with AI workloads, with an emphasis on inference workloads
  • Ability to work independently with a remote team with minimal direction
  • Outstanding communication skills, strong interpersonal and be an excellent teammate!

Benefits

Comp & perks
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

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Hard Skills & Tools
AI factoryworkflow pipelinesperformance optimizationdata center implementationssynthetic data generationapplication developmenthybrid cloud architecturesinfrastructure managementLinuxPython
Soft Skills
communication skillsinterpersonal skillsteamworkindependenceleadership
Certifications
Bachelor's degree in EngineeringBachelor's degree in Computer Science