NVIDIA is a world‑leading, fast‑growing AI computing company, delivering everything from the most powerful GPU‑accelerated supercomputers to gigawatt‑scale AI data centers. We build and optimize end‑to‑end GPU server platforms that combine accelerated computing, high‑performance networking, and software to power state‑of‑the‑art AI infrastructure. We believe in our people and products, and we are looking for outstanding talent to join us.
We are looking for a Senior Solutions Architect who is both customer‑facing and deeply hands‑on with SONiC‑based networking and GPU server infrastructure. In this role, you will partner with account and OEM partner teams to qualify opportunities, design solutions, run technical evaluations, and prove value to customers building large‑scale AI and HPC platforms. Supporting production clusters, including monitoring and troubleshooting, is also part of this role.
What you will be doing
- Work closely with account managers to understand customer requirements, position our SONiC + Spectrum whitebox switch solutions, and shape technical win strategies for AI and HPC opportunities.
- Design end‑to‑end architectures for customer proposals, including GPU server configurations, storage connectivity, and SONiC‑based leaf‑spine fabrics with RDMA/RoCE.
- Build and validate hands‑on demos and POCs: deploy SONiC switches and GPU servers, configure networking, install software stacks, and run benchmarks to prove performance, scalability, and reliability.
- Provide support for large-scale production SONiC switch clusters.
- Own and manage customized SONiC software projects on Spectrum white-box switches.
- Collaborate with internal engineering, product, and OEM partners to resolve complex issues in firmware, drivers, OS, routing, and GPU/network performance, then bring fixes back to active POCs.
What we need to see
- BS/BA in Computer Science, Electrical/Computer Engineering, or equivalent practical experience.
- 6+ years in data center or cloud infrastructure roles (solutions architect, systems engineer, network engineer) with direct exposure to presales or customer‑facing technical work.
- Solid background in data center networking for AI workloads: leaf‑spine designs, high‑bandwidth/low‑latency fabrics, RDMA/RoCE, and ideally InfiniBand; comfortable configuring and debugging these in lab and customer environments.
- Practical knowledge of SONiC: installing and upgrading, configuring interfaces and routing (BGP/EVPN/VXLAN), using monitoring/telemetry tools, and troubleshooting real incidents.
- Strong, practical understanding of GPU server architecture: CPU/GPU balance, memory bandwidth, PCIe/NVLink topology, storage and NIC placement, and power/cooling at rack level.
- Hands‑on experience designing, deploying, or operating AI/HPC clusters using GPU‑accelerated servers (on‑prem or cloud), including real involvement in sizing, configuration, and performance tuning.
- Excellent communication and presentation skills: able to explain complex technical topics to both highly technical engineers and non‑technical decision makers, and write clear design documents and POC reports. Fluent written and spoken English is required.
Ways to stand out from the crowd
- Contributions to open‑source SONiC, networking, or AI infrastructure projects, or published talks/whitepapers on AI data center design and performance tuning.
- Coding experience on SONiC.
- Coding experience with NCCL, NIXL or other collective communication library, RDMA applications, or performance‑critical distributed training frameworks, giving you credibility when discussing low‑level performance with customer engineers.
- Hands‑on deployments of SONiC in production or large lab environments, especially integrated with GPU clusters and RDMA/RoCE fabrics.
- Hands-on experience with NVIDIA networking products and solutions (Spectrum-X, InfiniBand, Cumulus Linux, etc.).
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience
- 6+ years of experience in data center or cloud infrastructure roles
- Direct experience with presales or customer-facing technical work
- Data center networking experience for AI workloads, including leaf-spine designs, high-bandwidth and low-latency fabrics, RDMA/RoCE, and ideally InfiniBand
- Practical SONiC experience, including installation, upgrades, interface and routing configuration, monitoring, telemetry, and troubleshooting
- Practical understanding of GPU server architecture, including CPU/GPU balance, memory bandwidth, PCIe/NVLink topology, storage and NIC placement, and rack-level power and cooling
- Experience designing, deploying, or operating AI/HPC clusters using GPU-accelerated servers
- Excellent communication and presentation skills
- Fluent written and spoken English
- Contributions to open-source SONiC, networking, or AI infrastructure projects, or published talks/whitepapers on AI data center design and performance tuning
- Coding experience on SONiC
- Coding experience with NCCL, NIXL, other collective communication libraries, RDMA applications, or distributed training frameworks
- Hands-on production or large-lab SONiC deployments integrated with GPU clusters and RDMA/RoCE fabrics
- Hands-on experience with NVIDIA networking products and solutions, including Spectrum-X, InfiniBand, or Cumulus Linux
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.”









