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NVIDIA

Senior Solutions Architect, Networking - Hyperscale

AI in this role

Design, implement, and troubleshoot large-scale networking projects to build high-performance AI and HPC systems using NVIDIA networking.

nvidia-networking
networkingsolutions-architecturerdmaai-infrastructure

We are seeking driven, high-energy, networking engineers to join the Solutions Architecture team in building the world’s largest and fastest AI/HPC systems using NVIDIA Networking. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement, and troubleshoot large-scale networking projects with customers and internal teams.

What you’ll be doing:

  • Introduce and integrate NVIDIA networking products with Hyperscalers

  • Build customers’ trust and understand their unique needs

  • Address sophisticated and obvious customer issues alongside engineering and support teams

  • Conduct technical meetings for project/product details, feature discussions, and debugging sessions

  • Partner with Sales and Product teams to identify and secure business opportunities, analyze network requirements, and designs next-gen AI platforms

  • Develop Proof of Concept (PoC) solutions for critical business needs

  • Prepare and deliver technical presentations and workshops to customers

What we need to see:

  • Bachelor’s degree or higher in Electrical/Computer Engineering or related field (or equivalent experience)

  • 12+ years of Solutions Engineering or similar engineering experience

  • Passion to enhance customer experience

  • Proficiency in networking fundamentals, including NICs, server systems, data center architecture, switching, routing, networking protocols, and data center architecture

  • Comprehensive knowledge of computer system architecture, Linux, PCIe devices as it relates to networking performance

  • Experience in configuring, testing, and troubleshooting in networking environments

  • Ability to work independently and manage multiple priorities

  • Excellent communication skills to act as a trusted advisor to customers

Ways to stand out from the crowd:

  • Experience working with custom network OS (such as SONiC, FBOSS, or similar)

  • Experience working with or calling on Cloud Service Providers (e.g., Meta)

  • Exemplify a unique combination of strong interpersonal skills and technical proficiency

  • Showcase in-depth knowledge of RDMA, including performance testing and AI benchmarking

  • Background with NVIDIA hardware and software


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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 20, 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.

How we rate this

Senior Solutions Architect, Networking - Hyperscale at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NetworkingSolutions ArchitectureRdmaAI InfrastructureNvidia Networking

Also common in solutions architect jobs at this level

Questions you could be asked

  1. Tell me about a project where networking was part of your work. What did you do?
  2. Tell me about a project where solutions architecture was part of your work. What did you do?
  3. Tell me about a project where rdma was part of your work. What did you do?
  4. Tell me about a project where ai infrastructure was part of your work. What did you do?
  5. Walk me through how you've used Nvidia Networking in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Networking, Solutions Architecture, Rdma, AI Infrastructure, and Nvidia Networking. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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