New The Skills of Tomorrow: how AI-exposed is every skill in 2026? See the data →
NVIDIA

Senior Solutions Architect

NVIDIA
Apply →
senior full-time 184,000 USD - 287,500 USD

First indexed 13 Oct 2026

Description

NVIDIA is seeking a Senior Solutions Architect to drive technical engagement with OEM and deployment partners across the AI Infrastructure Build Readiness - Execution team.

In this role, you'll connect real-world customer workloads to NVIDIA's hardware and software ecosystem, helping developers and enterprises adopt and scale our 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.

Requirements:

  • 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.
  • Travel required (up to 50%) to support field engagements, partner sites, and deployment activities.

Nice to Have:

  • A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
  • History of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms.
  • A technical vision that influences product and engineering decisions and drives production outcomes.
  • Experience with AI Factory, accelerated computing, rack-scale AI infrastructure, or large-scale GPU system deployments.
  • Experience contributing to deployment playbooks, execution frameworks, or readiness programs for large-scale AI infrastructure build-outs.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits.