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Senior Software Engineer

Microsoft· Software Engineering
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Hybrid (United States), United States$119.8k - $234.7kFull-timePosted 1w ago

About the role

The HPC/AI team builds networking and systems infrastructure for Azure's AI supercomputing clusters, focusing on scalable distributed systems, RDMA libraries, and low-latency networking to support large-scale AI training and inference.

Responsibilities

  • Design, develop, and optimize networking solutions for large-scale AI training and inference infrastructure, with a focus on performance, scalability, and reliability.
  • Lead the design and implementation of network transport protocols, RDMA-based communication libraries, and distributed systems technologies that power AI supercomputing clusters.
  • Analyze and optimize end-to-end communication performance, including latency, throughput, congestion management, collective communication efficiency, and workload scalability.
  • Investigate and resolve complex networking and distributed systems challenges across production-scale AI infrastructure.
  • Drive technical architecture, author design specifications, identify dependencies, and influence engineering decisions across multiple teams and technology areas.
  • Collaborate across networking, hardware, silicon, AI framework, and infrastructure teams to deliver end-to-end solutions that improve performance, reliability, and observability of large-scale AI systems.

Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Skills

Required:Software designDistributed systemsNetworking
Last updated Oct 16, 2026. Interested? Apply on the company site.

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