Senior AI Networking System Architect

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Problem-solving","Communication","Leadership"]

Lead the end-to-end design of the NVL system architecture for NVIDIA’s next-generation AI networks, spanning post/pre-silicon and deployments. Research solutions for large-scale HPC clusters across algorithms, software, firmware, and hardware; develop simulation models and performance tests; and collaborate with cross-functional teams to drive innovations used by researchers and engineers in AI/ML computing.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior AI Networking System Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead the end-to-end design of the NVL system architecture for NVIDIA’s next-generation AI networks, spanning post/pre-silicon and deployments. Research solutions for large-scale HPC clusters across algorithms, software, firmware, and hardware; develop simulation models and performance tests; and collaborate with cross-functional teams to drive innovations used by researchers and engineers in AI/ML computing.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key 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 spanning algorithms, software, firmware, and HW.
  • •Develop models for simulations and performance testing, analysing the results and 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 the successful execution of the project.

Key Requirements

  • •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
Experience:5+ yearsComputer networksHPCAI
Skills:Problem-solvingCommunicationLeadership
Tech Stack:PythonC++InfiniBandIPTCPRoCEOmnet++NS3HPC

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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