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# Solutions Architect, AI Infrastructure

- **Company:** NVIDIA Corporation
- **Location:** Redmond, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Computer Engineering, Data Centers, Software Debugging, Microprocessors, Ethernet, Network Interface Controllers, InfiniBand, Networking Hardware, Machine Learning, PCI Express, AI Infrastructure, Graphics Processing Unit (GPU), High Performance Computing, Build Management, Information Technology, Hardware Infrastructure
- **Published:** October 20, 2026
- **Apply:** https://startup.jobs/senior-solutions-architect-ai-infrastructure-2100-nvidia-usa-10525564

## About the Role

* 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.

Ways to stand out from the crowd:

 * External customer facing skills and background
 * Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs, switches, and GPUs
 * Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs and GPUs
 * Large-scale GPU infrastructure deployments
 * Experience designing and debugging at a rack scale

## Description

* 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.