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Senior Solutions Architect, Networking

NVIDIA· Architect, Solutions
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Hybrid (Santa Clara, CA), Hybrid (Remote, US (CA))$184k - $356.5k + equityfull-timePosted 3mo ago

About the role

Senior Solutions Architect/Engineer with experience in designing and building Ethernet networking fabrics for AI Factories to support development and testing of Autonomous Vehicles and GenAI models. Interfaces with customers and internal teams to drive design wins, provide mentorship, and develop reference architectures and POCs for AI factory networking solutions.

Responsibilities

  • Provide technical mentorship to partners and customers on gigawatt-scale networking infrastructure deployments. Guide customer journey from design to build to production and post production stabilization.
  • Build demonstrations and POCs for solutions that address critical business needs of our customers. Help in draft requirements for missing features to unblock progress at customers/partners.
  • Educate customers on new networking solutions and platforms developed by NVIDIA. Prepare and deliver technical training presentations and workshops.
  • Build collaterals that would help AI Factory builders with the right networking reference architectures and configurations.
  • Partner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and POC evaluations.

Qualifications

  • MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
  • 10+ years of hands-on validated technical experience in Ethernet Networking technologies for HPC or AI computing clusters.
  • Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernels and drivers. Comfortable with Linux shell commands.
  • Knowledge of Slurm job scheduling and the related implications on the networking fabrics.
  • Practical knowledge of Networking including Data Center topologies, routing and switching protocols, and Ethernet Networking Protocols. Understanding telemetry open source interfaces (e.g., gNMI) and dashboards (e.g., Grafana)
  • System level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers.
  • Enjoy working with multiple levels and teams across organizations (engineering, research, product, sales and marketing teams).
  • Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.

Skills

Required:C/C++LinuxNetworking technologies for HPC/AISlurmTelemetry and dashboardsPresentation and training

Benefits

  • equity
  • comprehensive benefits package
Last updated Jul 24, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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