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Senior Solutions Architect, Enterprise AI Factories

NVIDIA· Architect, Solutions
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Hybrid (Santa Clara, CA), Hybrid (US, CA (Remote)), Hybrid (US, TX (Remote)), Hybrid (US, NC (Remote))$152k - $241.5kFull-timePosted 4d ago

About the role

Senior Solutions Architect to drive technical engagement with NVIDIA partners, OEMs, and customers across NVIDIA AI Factory solutions, focusing on on-premises enterprise solutions. Responsible for mapping customer workloads to NVIDIA’s ecosystem, co-designing architectures, enabling platform adoption, and guiding customers and partners to successful deployments.

Responsibilities

  • Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
  • Co-design advanced, scalable architectures with NVIDIA integration partners, select OEMs, and key end customers, defining technical direction, integration milestones, and deployment plans.
  • Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer success.
  • Identify gaps between customer and partner needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities.
  • Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.
  • Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
  • Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
  • Become an authority who builds and shares knowledge and infrastructure insights for NVIDIA platforms.
  • Act as a resource to help tailor on-premises solutions to specific environments and workloads while balancing risk, performance, and supportability needs.
  • Be hands-on, and a voice of experience. This role is for those who thrive by gaining real experience and using that to help accelerate others.

Qualifications

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in compute, networking, and storage hardware and software platforms.
  • Deep technical expertise in system management software, operating systems, system firmware, and all the hardware infrastructure that goes with it when deployed at scale, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
  • Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
  • Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed.
  • A track record of balancing empathy for partner and customer needs with the ability to drive complex product decisions through trusted relationships.
  • Hands-on experience with deploying, using, and operating on-premises AI-focused solutions, including system architectures, rack-scale firmware, cluster management software, workload management software, and the associated hardware that underlies it. If you are motivated by sharing how hardware, firmware, and software all work together to build a platform, this is the role for you.

Skills

Required:Communication of complex technical ideasArchitectural design and co-design of scalable solutionsHands-on on-premises AI-focused solutions
Nice to have:Cluster management tools

Benefits

  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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