NVIDIA

Senior Solutions Architect, AI Infrastructure

United States full-time Senior $224,000 - $356,500
full-time Senior level Technology & IT Salary listed Curated
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About the role

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap.
What you will be doing:

Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase.

Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features.

Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams

Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions

Build custom product demonstrations and POCs for solutions that address critical business needs of our customers

Analyze and debug compute/network configuration, performance issues to deliver performant clusters

What we need to see:

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 6+ years of Systems/Solution Engineering (or similar Engineering roles) experience

System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers

Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling)

Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes

Effective time management and capable of balancing multiple tasks

Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc

Ways to stand out from the crowd:

External customer facing background

Experience with bringup and deployment of large clusters

Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers

Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions

Familiarity with virtualization technology concepts

We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team!

NVIDIA is widely considered to be one of the technology world’s most desirable employers. 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!
#NALASAHiring
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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 21, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT API integration Remote Collaboration Sales Senior Solutions Senior level

Likely questions

  1. Tell us about work you have done that is close to the Senior Solutions Architect, AI Infrastructure role.
  2. How would you approach your first 30 days at NVIDIA?
  3. Which of API integration, Remote Collaboration and Sales have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Remote Collaboration and Sales.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Solutions Architect, AI Infrastructure role because I can bring practical experience in API integration, Remote Collaboration and Sales, learn the team quickly, and contribute to the outcomes NVIDIA needs from this hire.

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