Senior AI Network Systems Engineer

Senior AI Network Systems Engineer | Microsoft Careers Skip to main content Microsoft Careers Careers Careers Search Search jobs Sign in Single PositionView All JobsSenior AI Network Systems EngineerUnited States, Washington, Redmond +2 moreApply nowAdd to cartFind out how well you match with this jobUpload your resumeJob descriptionCompany and benefitsJob number200043746Date postedJul 16, 2026Work site3 days / week in-officeTravelLess than 25%ProfessionHardware EngineeringDisciplineHardware EngineeringRole typeIndividual ContributorEmployment typeFull-TimeOverviewMicrosoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission. The Platform Systems Engineering (PSE) team is seeking a Senior AI Network Systems Engineer to drive the architecture, integration, validation, optimization, and deployment of large-scale AI networking infrastructure. This role focuses on Layer 3 and Layer 4 networking technologies, RDMA-based fabrics, TCP/UDP transport behavior, network performance, congestion management, and scale-out AI networking environments. You will work closely with networking, silicon, firmware, system software, validation, and Azure infrastructure teams to build reliable, high-performance AI networks that support next-generation AI systems deployed at hyperscale. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.ResponsibilitiesAI Network Architecture & System IntegrationDefine 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. Layer 3 / Layer 4 Networking Lead design and validation of IP-based AI networking solutions spanning TCP/IP, UDP, routing, congestion management, flow control, QoS, and traffic engineering. 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. Drive optimization of network communication paths supporting distributed AI training and inference. RDMA & AI Fabric Technologies 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 Characterization &...