NVIDIA
Senior Solutions Architect, Networking
$184K–$356K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Jul 21, 2026
- Location
- US, CA, Santa Clara
US, CA, Remote - Experience
- 10+ years.
- Education
- MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience.
About the job
Design and support Ethernet networking fabrics for automotive AI Factories, guiding customers from infrastructure design through production and helping shape NVIDIA networking solutions.
What you'll do
- Mentor customers and partners on networking deployments and guide infrastructure from design through production stabilization.
- Build demonstrations, proofs of concept, reference architectures, training, and technical materials; identify requirements for missing features.
- Partner with NVIDIA engineering, product, and sales teams on customer design wins and product development through feedback and evaluations.
What they ask for
- MS/PhD in a listed field or equivalent experience.
- 10+ years of hands-on validated technical experience in Ethernet Networking for HPC or AI computing clusters.
- Systems engineering, coding, and debugging skills, including C/C++, Linux kernels and drivers, and Linux shell commands.
- Knowledge of Slurm job scheduling; practical networking knowledge including data center topologies, routing and switching protocols, Ethernet protocols, telemetry interfaces, and dashboards.
Nice to have
- Networking certificates such as CCIE (written and lab); Spectrum-X familiarity and experience building or troubleshooting large AI Factory networking fabrics.
- Hands-on experience with NVIDIA SDKs (e.g. CUDA, DoCA) and NVIDIA Networking technologies (e.g., SPX, InfiniBand, DPU).
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Ethernet Networking, C/C++, Linux kernels, Slurm, gNMI, Grafana, Spectrum-X, CUDA
AI focus
Supports networking infrastructure for AI Factories used to develop and test Autonomous Vehicles and GenAI (e.g., LLMs) models. NVIDIA uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative