Startups · AI

Principal AI Network Hardware Systems Engineer

Microsoft · Redmond, WA, US; Mountain View, CA, US; Hillsboro, OR, US · On-site

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About the role

AI Network Architecture & System Integration Define and develop networking requirements for large-scale AI training and inference clusters. Collaborate with silicon, system software, firmware, hardware, and Azure infrastructure teams to deliver scalable networking solutions from concept through datacenter deployment. Participate in architecture reviews and influence next-generation AI networking roadmaps.

More about this role

AI Network Architecture & System Integration Define and develop networking requirements for large-scale AI training and inference clusters. Collaborate with silicon, system software, firmware, hardware, and Azure infrastructure teams to deliver scalable networking solutions from concept through datacenter deployment. Participate in architecture reviews and influence next-generation AI networking roadmaps. Define network concepts of operation, serviceability requirements, telemetry requirements, and operational models for AI infrastructure. Analyze transport-layer behavior and performance characteristics across large-scale distributed AI workloads. Evaluate network protocol implementations and debug issues impacting latency, throughput, scalability, and reliability. Design, validate, and optimize RDMA-based networking solutions for AI clusters. Analyze RDMA performance, congestion behavior, packet loss, retransmissions, and collective communication efficiency. Work closely with networking vendors and software teams to optimize AI fabric performance and workload scalability. Develop validation methodologies for AI traffic patterns and collective communication workloads. Performance...

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Hardware Engineering

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