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Senior Solutions Architect, AI Infrastructure Build Readiness - Execution

NVIDIA· Architect, Solutions
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Hybrid (US-CA Remote), Hybrid (US-TX Remote)$184k - $287.5kFull-timePosted 1w ago

About the role

Senior Solutions Architect to drive technical engagement with OEM and deployment partners across the AI Infrastructure Build Readiness - Execution team, mapping customer workloads to NVIDIA’s hardware and software ecosystem and enabling adoption and scaling of NVIDIA platforms.

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 OEM and deployment partners, defining technical direction, integration milestones, and deployment plans.
  • Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
  • Identify gaps between OEM and deployment 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.
  • Lead AI Factory build execution engagements with OEM and deployment partners, driving technical readiness, deployment validation, and issue resolution across NVIDIA AI infrastructure build-outs.

Qualifications

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
  • 8+ years of professional experience spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in AI infrastructure, data center deployment, or large-scale AI/HPC systems.
  • Deep technical expertise in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems, 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 OEM and deployment partner needs with the ability to drive complex product decisions through trusted relationships.
  • Experience working with OEM, ODM, system integrator, or deployment partner ecosystems to drive technical field engagement, partner enablement, or platform adoption at scale.
  • Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms, with a track record of driving integrations in large-scale deployment environments.
  • Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.

Skills

Required:AI infrastructureSolutions architectureCommunication

Benefits

  • Equity and benefits (including health, retirement, and other company-specific programs) as part of the compensation package.
Last updated Oct 16, 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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