Senior AI Networking System Architect
NVIDIA· Architect
Tel Aviv, Raanana, Yokneamfull-timePosted 7mo ago
About the role
High-performance system architect role focused on end-to-end NVL system architecture for large-scale HPC/AI compute clusters, spanning algorithms, software, firmware, and hardware across pre/post-silicon and deployment stages.
Responsibilities
- Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
- Research various solutions to enable the next large-scale-high-performance computing clusters across layers from algorithms, software, firmware, and HW.
- Develop models for simulations and performance testing, analyze results and guide development of future HW and SW.
- Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure successful project execution.
Qualifications
- B.Sc, M.Sc, or Ph.D in Computer Science, Computer Engineering, or Electrical Engineering.
- At least 5 years of industry or research experience in computer networks.
- Excellent understanding of large-scale networks behavior and the effect of distributed computing workloads on the network.
- Experience in development of simulation environments.
- Strong managerial, problem solving and critical thinking skills.
- Ability to work and operate in a highly dynamic environment.
- Ability to partner with multiple groups in the organization.
Skills
Required:networking expertisesimulation developmentproblem solving and critical thinking
Last updated Jul 3, 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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