Senior Solutions Architect, AI Infrastructure

NVIDIA

Solutions Architect driving AI infrastructure solutions at NVIDIA. Collaborating with Cloud Providers and customers to innovate in AI technology.

Posted 5/11/2026full-timeAustin • California, Oregon, Texas, Washington • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Working with Cloud Providers and Hyperscalers to develop, build and deploy compute and networking solutions based on NVIDIA groundbreaking AI infrastructure hardware
Work with customers on POCs for AI solutions to address critical business needs
Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions
Provide recommendations to business and engineering teams on product strategy.

Requirements

What you’ll need

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
8+ years of Solutions Architect or similar technical pre-sales roles.
Strong sense of achievement, customer oriented demeanor, and skills to drive technical pre-sales activities.
Practical knowledge of sophisticated networking for AI data centers, including, GPUs, CPUs, InfiniBand and Ethernet fabric topologies, PCIe, host networking and switches.
Experience with end-to-end compute and network performance debugging - hosts, switches, and optics.
Effective time management and capable of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, etc.

Benefits

Comp & perks

equity
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Hard Skills & Tools

AI infrastructure hardwarenetworking solutionsGPUsCPUsInfiniBandEthernet fabric topologiesPCIeperformance debuggingcompute performancenetwork performance

Soft Skills

customer orientedtechnical pre-salestime managementcommunication skillsability to balance multiple tasks

Certifications

BS in Electrical EngineeringMS in Electrical EngineeringPhD in Electrical EngineeringBS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in PhysicsMS in PhysicsPhD in Physics