NVIDIA
Senior Solutions Architect, AI Infrastructure Build Readiness - Execution
$184K–$288K
US, CA, Remote +1 · Senior · Full-time · Posted Oct 12, 2026
- Location
- US, CA, Remote
US, TX, Remote - Experience
- 8+ years of professional experience, including 3-5+ years of direct, hands-on experience in AI infrastructure, data center deployment, or large-scale AI/HPC systems.
- Education
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
About the job
Leads technical engagements with OEM and deployment partners to design, validate, and execute large-scale NVIDIA AI infrastructure deployments.
What you'll do
- Map customer workloads to NVIDIA technologies and co-design scalable architectures, integration milestones, and deployment plans.
- Lead AI Factory build readiness and execution, including deployment validation, troubleshooting, and issue resolution.
- Enable platform adoption and share partner needs with NVIDIA product, engineering, and cross-functional teams.
What they ask for
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
- 8+ years of professional experience across specified technical or product fields, including 3-5+ years of direct, hands-on experience in AI infrastructure, data center deployment, or large-scale AI/HPC systems.
- Deep technical expertise in HPC, AI/ML, data center or rack-scale AI infrastructure, or large-scale GPU systems.
- Experience with OEM, ODM, system integrator, or deployment partner ecosystems; travel required up to 50%.
Nice to have
- 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.
Pay
184,000 USD - 287,500 USD (base salary)
Tools
NVIDIA GPU, NVIDIA SDKs, AI/ML, HPC, AI infrastructure
AI focus
Enables adoption and deployment of AI infrastructure, including AI Factory build execution, large-scale AI/HPC systems, and NVIDIA platforms.
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