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Senior Network Systems Researcher

NVIDIA·Израиль·en
В офисеПолная занятостьCommunications EngineeringElectronics Manufacturing

Join an accelerated-computing engineering organization researching Ethernet networks, switch ASICs, and high-performance AI fabrics. The role focuses on connecting switch-level capabilities to cluster-scale outcomes and influencing next-generation network architecture.

Обязанности

  • Research how switch-level capabilities affect cluster-scale outcomes, including orchestration, job scheduling, collective communication, and observability
  • Evaluate hardware and software trade-offs for high-radix Ethernet switches and next-generation AI fabrics
  • Investigate machine-learning methods for traffic analysis, control-plane assistance, and configuration optimization
  • Build proof-of-concept implementations using network simulations, performance models, and data-driven analysis
  • Assess emerging protocols, software stacks, open-source projects, partner ecosystems, and academic research against the Ethernet switch roadmap
  • Collaborate with architects, advanced development teams, and researchers to shape networking solutions and architecture decisions

Требования

  • M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering
  • At least 12 years of experience in system architecture, networking technologies, and embedded software, including at least 3 years in research
  • Expert knowledge of Ethernet and IP technologies, network topologies, and data-center networking protocols and features
  • Strong understanding of large-scale network behavior, network simulation, and distributed-computing workload effects on networks
  • Demonstrated ability to conduct research, prototype concepts, validate their value, and develop practical applications
  • Strong written and verbal communication skills, including consensus-building in large organizations
  • Strong problem-solving and critical-thinking abilities

Будет плюсом

  • Practical networking research and innovation experience
  • Knowledge of switch ASIC hardware and software abstractions
  • Experience applying machine learning or artificial intelligence to networking problems

Соответствие

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