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High-Performance System Architect

NVIDIA·Ra'anana, Israel·en
Not specifiedFull-timeBackend DevelopmentComputer Hardware

Architect next-generation high-performance computing systems and networks for large-scale AI and machine-learning clusters. Work across the product lifecycle with architecture, hardware, software, firmware, and research teams.

Responsibilities

  • Define end-to-end system architecture based on internal and customer requirements throughout the product lifecycle, from pre-silicon and post-silicon stages through deployment.
  • Research solutions for next-generation large-scale, high-performance computing clusters across algorithms, software, firmware, and hardware.
  • Collaborate with architecture, logic design, system software, firmware, and research teams to deliver projects.

Requirements

  • Bachelor’s, master’s, or doctoral degree in computer science, computer engineering, or electrical engineering.
  • At least 5 years of industry or research experience in computer networks.
  • Strong understanding of large-scale network behavior and the effects of distributed computing workloads on networks.
  • Experience developing simulation models, analyzing simulation results, and developing optimization algorithms.

Nice to have

  • Knowledge of network protocols such as InfiniBand, IP, TCP, and RoCE, and network topologies.
  • Knowledge of Python and C++.
  • Familiarity with high-performance computing environments, routing algorithms, and OMNeT++ or NS-3 simulation environments.

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