Senior Solutions Architect, AI Infrastructure
At a glance
Highlights
- Competitive base salary range
- Equity and benefits eligible
- Work on cutting‑edge AI infrastructure
Why this role might suit you
The role offers senior‑level architects the chance to design and deploy AI‑focused networking solutions for top‑tier customers, leveraging NVIDIA hardware and large‑scale GPU infrastructures while collaborating with cloud hyperscalers.
Skills
About the role
NVIDIA is looking for an experienced infrastructure Solutions Architect. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a networking savvy Solutions Architect to join the NVIDIA team focused on supporting accelerated networking for AI, Machine Learning, and HPC. As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA’s most strategic technology customers.
What you’ll be doing:
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.
What we need to see:
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
NVIDIA is widely considered to be one of the technology world’s best places to work. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Compensation
This Solutions Architect role pays $184k-$288k/yr. Within typical range for solutions architect roles in United States.
Questions about this role
How do I apply to this Senior Solutions Architect, AI Infrastructure role at NVIDIA?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Solutions Architect in United States?
Compensation for Solutions Architect roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Solutions Architect hub for United States medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does NVIDIA use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.