Senior Software Research Architect, AI Networking

Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement. Analyze current deployments, develop prototypes, and recommend architectural improvements. Stay abreast of the latest research; become the team's authority in emerging networking techniques and technologies. Design, simulate, and validate new systems using novel, scalable network simulator NSX. Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1). Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features. Publish patents and present research at leading conferences. Experience in designing and building large-scale AI training clusters.