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Senior Software Architect, AI Networking

NVIDIA·ישראל·en
במקום העבודהמשרה מלאהSoftware ArchitectureElectronics ManufacturingArtificial Intelligence

Lead research and development of end-to-end networking architectures for distributed AI training and inference. The role combines software and hardware expertise to optimize large-scale GPU systems and turn research into production networking features.

תחומי אחריות

  • Lead research and development of networking solutions for distributed AI training and inference at scale
  • Optimize job completion time, failure resilience, telemetry, scheduling, and workload placement
  • Analyze existing deployments, build prototypes, and recommend architectural improvements
  • Research emerging networking techniques and technologies
  • Design, simulate, and validate scalable systems with network simulation tools
  • Develop and test prototypes on large GPU clusters
  • Collaborate with hardware, firmware, and software teams to convert research into networking product features
  • Publish patents and present research at leading conferences

דרישות

  • Master’s degree or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field; a bachelor’s degree with research experience and publications may also be considered
  • At least 5 years of relevant experience
  • Deep knowledge of networking and communication internals, including NCCL, RDMA, congestion control, and routing
  • Strong software engineering skills in C++ and/or Python
  • Strong system-level design and problem-solving abilities
  • Excellent communication and collaboration skills across technical domains

יתרון

  • Publications at leading technical conferences
  • Experience designing and building large-scale AI training clusters
  • Postdoctoral research experience
  • Practical knowledge of deep learning systems, GPU acceleration, and AI model execution flows
  • Passion for solving complex technical problems and delivering impactful solutions

רלוונטיות

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