NVIDIA
Senior Solutions Architect, AI Infrastructure
$184K–$288K
US, TX, Austin +3 · Senior · Full-time · Posted Oct 20, 2026
- Location
- US, TX, Austin
US, OR, Hillsboro
US, WA, Redmond
US, CA, Santa Clara - Experience
- 8+ years in Solutions Architect or similar technical pre-sales roles.
- Education
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field, or equivalent experience.
About the job
Integrates and deploys NVIDIA AI compute and networking solutions for cloud providers, hyperscalers, and other strategic customers.
What you'll do
- Develop and deploy compute and networking solutions based on NVIDIA AI infrastructure hardware.
- Work with customers on AI solution proofs of concept; lead technical meetings, workshops, and performance debugging.
- Recommend product strategy to business and engineering teams.
What they ask for
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field, or equivalent experience.
- Practical knowledge of AI data-center networking, including GPUs, CPUs, InfiniBand and Ethernet fabric topologies, PCIe, host networking, and switches.
- Experience with end-to-end compute and network performance debugging across hosts, switches, and optics.
- Strong customer-oriented communication, time management, and technical pre-sales skills.
Nice to have
- Hands-on experience with NVIDIA Ethernet and InfiniBand hardware, NICs/HCAs, switches, and GPUs.
- Experience with large-scale GPU infrastructure deployments or rack-scale design and debugging.
Pay
184,000 USD - 287,500 USD (base salary)
Tools
NVIDIA AI infrastructure hardware, GPUs, CPUs, InfiniBand, Ethernet, PCIe, NICs/HCAs, switches
AI focus
Supports production deployment of AI infrastructure and networking, and works with customers on AI solution proofs of concept.
Model-written summary · the original posting is authoritative