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, hard-working, and self-motivated, we want to hear from you!
We are looking for a Network Solutions Architect to join the NVIDIA team focused on supporting NVIDIA AI Cloud Partners as they build the next-generation GPU infrastructure for their customers. As a part of the NVIDIA solutions architecture team dedicated to NVIDIA AI Cloud Partners, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic customers as well as offering recommendations for business and engineering teams based on customer feedback on product strategy. If you have a real passion for technology, and you are interested in a role that you can make a difference in and contribute at all different levels, this may be a phenomenal position for you.
What you'll be doing:
Define reference architectures - blueprint for end-to-end solutions integrating GPU and networking into a data-center solution
Supporting account teams identifying new business opportunities for NVIDIA Networking products and technology solutions in cloud, telco, enterprises, artificial intelligence, and Large-Language-Models (LLM) applications and works closely with the Sales teams and Product Marketing to make our customers dreams a reality.
Technical account management for NVIDIA Networking product key accounts
Conducting regular customer meetings for product updates and introductions to new technology solutions and delivering product roadmap presentations to customers and technology partners
Building and delivering custom-tailored product demonstrations and POCs for solutions that address critical business needs for our customers
Technical project management of complex networking deployments and design-in opportunities
Analyzing and troubleshooting performance issues with new technology at the customer site and preparing and delivering technical training presentations
Provide constructive feedback to engineering regarding product requirements, evolution, including submitting Requests for Enhancements supported with business evidence
What we need to see:
This role is for an individual with the motivation and skills to drive the technical pre-sales process. The ideal candidate has 5+ years of Solution Architect (or similar Sales Engineering roles) experience
A Bachelor’s degree or equivalent experience in computer science, electrical engineering, computer engineering
Datacenter engineering, networking, or cloud application knowledge. Deep networking experience, including network topologies considerations, solid knowledge of L2/L3 Ethernet or other networking protocols
Understanding of system-level issues, including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture
Technical presentation skills and confidence in developing Proofs-of-Concept
Must have strong sense of achievement and customer focused attitude
Effective time management and capable of balancing multiple demands with competing deadlines
Travel required as needed (30% of the working hours)
Ways to stand out from the crowd:
Low latency / high BW interconnect such as InfiniBand / Ethernet AI
Ability to handle and resolve critical customer issues/problems resulting in a high level of customer satisfaction
Practical experience with K8s and Linux Virtualization technologies (KVM)
Experience with GPU accelerated systems administration and SW and distributed/parallel computing
Practical DevOps and or Agentic AI experience
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
- 5+ years Solution Architect or Sales Engineering experience
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering or equivalent experience
- Datacenter engineering, networking, or cloud application knowledge
- Deep networking experience including network topologies and L2/L3 Ethernet protocols
- Understanding of operating systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture
- Technical presentation skills and ability to develop and deliver Proofs-of-Concept
- Technical project management of complex networking deployments
- Ability to analyze and troubleshoot performance issues at customer sites
- Customer-focused attitude and strong time management to balance competing deadlines
- Willingness/ability to travel as needed (~30% of working hours)
- Experience with low latency/high bandwidth interconnects (InfiniBand, Ethernet AI)
- Practical experience with Kubernetes and Linux virtualization technologies (KVM)
- Experience with GPU-accelerated systems administration and distributed/parallel computing
- Practical DevOps and/or Agentic AI experience
- Proven ability to handle and resolve critical customer issues
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.
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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.
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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.
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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
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.”









