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Principal Networking Systems Architect

NVIDIA·Ra'anana, Israel·en
Not specifiedFull-timeSoftware ArchitectureComputer Hardware

Shape software architecture for open networking platforms, including SONiC and SAI, supporting high-performance AI and computing systems.

Responsibilities

  • Explore technologies and end-to-end solutions for Ethernet networking platforms
  • Define architectures and technical requirements for SONiC and other SAI-based network operating systems across hardware and simulation environments
  • Contribute to SONiC and SAI open-source communities and technical groups, and guide technology roadmaps
  • Guide R&D and validation teams through technical direction, design reviews, and test-plan reviews
  • Collaborate with chip design, firmware, hardware platform, and systems architects
  • Coordinate with product marketing, program management, and account management to support project execution
  • Engage with customers, contribute to patents and technical publications, and participate in industry forums and standards groups
  • Design and implement proofs of concept

Requirements

  • Bachelor’s, master’s, or doctorate in computer science, computer engineering, or electrical engineering
  • At least 15 years of embedded software development experience for networking products
  • At least five years representing an organization in open-source communities and standards organizations
  • Expert knowledge of Ethernet/IP technologies, networking protocols and features, system software design, SAI, and SONiC architecture, including end-to-end testing
  • Strong understanding of large-scale network behavior, network simulation, and distributed computing workloads
  • Ability to research emerging technologies and develop technical roadmaps
  • Leadership, accountability, communication, and consensus-building skills

Nice to have

  • Deep participation in SONiC and SAI communities and technical forums
  • Knowledge of switch ASIC hardware and software abstraction
  • Experience prototyping ideas and demonstrating their value
  • Applying AI or machine learning to networking challenges

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