NVIDIA
Solutions Architect, AI Infrastructure Build Readiness - Enablement
$152K–$288K
US, CA, Santa Clara · Full-time · Posted Oct 19, 2026
- Experience
- 5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field.
- Education
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
About the job
Supports customer-facing AI infrastructure engagements, helping OEM and deployment partners design, validate, deploy, and adopt NVIDIA technologies.
What you'll do
- Support partner engagements by understanding workloads and contributing to scalable architecture, integration, and deployment plans.
- Build, test, validate, and troubleshoot solutions; help partners use NVIDIA tools, SDKs, and platforms.
- Contribute to AI Factory enablement programs, deployment guides, readiness frameworks, demos, and documentation; relay partner feedback to internal teams.
What they ask for
- Bachelor's or Master's degree, or equivalent experience, in Computer Science, Engineering, or a related field.
- Foundational knowledge of HPC, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems, with hands-on exposure to infrastructure architecture, data center deployment, or large-scale AI/HPC systems.
- Experience with OEM, ODM, system integrator, or deployment partner ecosystems supporting enablement, field engagement, or platform adoption.
- Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
Nice to have
- Experience contributing to technical enablement programs, deployment playbooks, or onboarding frameworks.
- Experience supporting customers or partners adopting new technologies or platforms.
Pay
152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)
Tools
NVIDIA GPU, NVIDIA's hardware and software ecosystem, SDKs
AI focus
Supports AI infrastructure and AI Factory build readiness, partner deployment, and adoption of NVIDIA AI technologies.
Model-written summary · the original posting is authoritative