Senior Solutions Architect, AI Infrastructure

Posted 4 Days Ago
Be an Early Applicant
4 Locations
In-Office
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.
Summary Generated by Built In

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 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Skills Required

  • 8+ years in Solutions Architect or similar technical pre-sales roles
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience
  • Practical knowledge of sophisticated networking for AI data centers
  • Hands-on experience with NVIDIA networking hardware and GPUs
  • Experience with large-scale GPU infrastructure deployments

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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