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Solutions Architect, AI Infrastructure Build Readiness - Enablement

NVIDIA· Architect, Solutions
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Santa Clara, CA$152k - $241.5k + equityFull-timePosted 4d ago

About the role

Solutions Architect to support AI infrastructure build readiness enablement, engaging with OEMs and deployment partners to map workloads to NVIDIA hardware/software, contribute to scalable architectures, and enable customer deployments.

Responsibilities

  • Support technical engagements with OEM and deployment partners, helping to understand their workloads and identify how NVIDIA's technology stack can address their needs, under the guidance of senior team members.
  • Contribute to the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches for customer and partner solutions.
  • Engage hands-on with technical topics—building, testing, and validating solutions that help OEM and deployment partners get started with and scale NVIDIA technologies.
  • Help document and communicate OEM and deployment partner needs and technical feedback, supporting the relay of field insights to internal product and engineering teams.
  • Participate in technical engagements, helping customers troubleshoot issues and learn to navigate NVIDIA's tools, SDKs, and platforms effectively.
  • Support technical enablement and platform adoption efforts, contributing to onboarding materials, demos, and documentation that help developers and enterprises integrate NVIDIA technologies.
  • Collaborate with engineering and product teams to understand NVIDIA's solutions and contribute to successful customer deployments.
  • Support AI Factory build readiness initiatives by contributing to enablement programs, deployment guides, and readiness frameworks that help OEM and deployment partners successfully bring up NVIDIA AI infrastructure.

Qualifications

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field — with some hands-on exposure to infrastructure architecture, data center deployment, or large-scale AI/HPC systems.
  • Foundational technical knowledge in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems, with a demonstrated interest in building expertise and contributing to technical solutions.
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences, with a desire to grow this skill across more complex topics and senior stakeholder levels.
  • Strong problem-solving skills, intellectual curiosity, and a genuine passion for helping customers succeed with technology.
  • Demonstrated ability to build collaborative relationships with OEM and deployment partners, with an interest in developing the technical credibility and trust needed to support complex product decisions.
  • Experience working with OEM, ODM, system integrator, or deployment partner ecosystems to support partner enablement, technical field engagement, or platform adoption.
  • Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
  • Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
  • Travel required periodically as business demands (10–20%).

Skills

Required:Technical communicationSolution architecture
Nice to have:Customer enablement

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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