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NVIDIA

Solutions Architect, AI Factory, CPU Focused

NVIDIA

. Helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks.

Posted 4/21/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $184,000 - $356,500 per yearWebsite

About the role

Key responsibilities & impact
  • Helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks.
  • Enabling customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory.
  • Working on hardware and software elements, and the larger AI workflow and operationalization of large scale compute resources.
  • Sharing knowledge with colleagues, delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs.
  • Collaborating with executives and engineering to tackle sophisticated problems and bring NVIDIA's premiere technologies to life.

Requirements

What you’ll need
  • Experience with defining, deploying, and testing large scale reference architectures for High Performance Computing and AI.
  • A track record of defining and using MLOps and AI workflow tools and processes.
  • 6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking.
  • Strong foundational expertise and a BS, MS, or equivalent experience in Engineering.
  • Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
  • Ability to multitask efficiently in a multifaceted environment.
  • Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability.
  • Flexibility to adapt in fluid situations, especially with partners or customers.
  • Comfortable with occasional travel to customer sites.

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 solutionsHigh Performance ComputingMLOpsdata center architecturesCPUsGPUsnetworkingreference architecturesAI workflow toolsoperationalization
Soft Skills
analytical skillsproblem-solving skillscommunication skillsmultitaskingflexibilitycollaborationknowledge sharingpresentation skillsadaptabilitycustomer engagement
Certifications
BS in EngineeringMS in Engineeringequivalent experience