Senior Solutions Architect, AI Infrastructure Build Readiness

NVIDIA  ยท  via Remote Communications Jobs
๐Ÿ’ฐ $184,000 - $287,500/yr ๐ŸŒŽ Remote ๐Ÿ“ Remote, California

Job Description:

  • Serve as a trusted advisor on complex or large-scale customer workloads and map them to NVIDIA's technology stack
  • Co-design scalable architectures with OEM and deployment partners
  • Define technical direction, integration milestones, and deployment plans
  • Design, validate, and support solutions for customer and partner success
  • Identify gaps between partner needs and NVIDIA offerings
  • Communicate insights that shape internal product and engineering priorities
  • Lead technical engagements and troubleshoot complex issues
  • Drive technical enablement and platform adoption
  • Help developers and enterprises integrate NVIDIA SDKs, frameworks, and systems
  • Partner with engineering and product teams on successful deployment and continuous improvement
  • Lead AI Factory build execution engagements, technical readiness, deployment validation, and issue resolution

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
  • 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
  • Track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries
  • Ability to communicate complex technical ideas clearly to technical and non-technical audiences
  • Strong problem-solving skills, intellectual curiosity, and commitment to helping customers succeed
  • Experience working with OEM, ODM, system integrator, or deployment partner ecosystems
  • 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 up to 50%

Benefits:

  • Equity
  • Benefits