Full-Time
Senior Solutions Architect
Posted on 3/28/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$224k - $356.5k/yr
Company Historically Provides H1B Sponsorship
Seattle, WA, USA + 3 more
More locations: California, USA | Santa Clara, CA, USA | United States
In Person
 Sales & Solution Engineering (1) |
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- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
- 12+ 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 InfiniBand and Ethernet fabric topologies, RDMA protocols, host networking and switches
- Experience with end-to-end 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.
- Working with Cloud Providers and Hyperscalers to develop and demonstrate networking solutions based on NVIDIA groundbreaking networking hardware
- Partner with Sales Account Managers to identify and secure business opportunities for NVIDIA networking products and solutions
- Work with customers on POCs for AI fabric 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.
- External customer facing skills and background
- Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs and switches, as well as RDMA and TCP protocol stacks
- Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs and GPUs
- Large-scale GPU infrastructure deployments with TCP or RDMA
- Experience designing and debugging Ethernet/InfiniBand networks
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
Simplify's Take
What believers are saying
- Data center demand remains strong, with hyperscalers still investing heavily in AI.
- Vera Rubin and Blackwell supply partnerships signal continued next-generation platform adoption.
- Edge AI, robotics, and automotive open large new markets beyond cloud GPUs.
What critics are saying
- Hyperscalers testing AMD and Broadcom can erode NVIDIA's pricing power quickly.
- AI ROI skepticism is pressuring enterprise budgets and slowing GPU deployment decisions.
- HBM4 supply broadening weakens memory bottlenecks and gives customers more bargaining leverage.
What makes NVIDIA unique
- NVIDIA owns the AI infrastructure stack from GPUs to software and systems.
- CUDA creates developer lock-in across gaming, HPC, and enterprise AI workloads.
- Its products span data centers, PCs, automotive, and robotics, broadening platform reach.
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Growth & Insights and Company News
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