The Senior AI Network Systems Engineer role within the Platform Systems Engineering team at Microsoft focuses on the architecture, integration, validation, optimization, and deployment of large-scale AI networking infrastructure. This position emphasizes Layer 3 and Layer 4 networking technologies, RDMA-based fabrics, and network performance in support of next-generation AI systems deployed at hyperscale. The engineer will collaborate with various teams to ensure the delivery of reliable and high-performance AI networks. Microsoft seeks passionate engineers to contribute to its mission of empowering every person and organization globally.

• Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in the same fields AND 5+ years technical engineering experience OR equivalent experience.
• 5+ years of experience developing or validating networking for accelerator-based systems.
• 5+ years of experience designing, integrating, validating, or troubleshooting Ethernet-based networking infrastructure, including network switches.
• 5+ years of experience supporting AI, HPC, cloud, or large-scale data center infrastructure deployments.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• 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.
• Participate in architecture reviews and influence next-generation AI networking roadmaps.
• Lead design and validation of IP-based AI networking solutions spanning TCP/IP, UDP, routing, and congestion management.
• Analyze transport-layer behavior and performance characteristics across large-scale distributed AI workloads.
• Design, validate, and optimize RDMA-based networking solutions for AI clusters.
• Develop and execute networking validation strategies covering functionality, performance, scale, interoperability, resiliency, and reliability.
• Lead end-to-end troubleshooting of networking issues across physical, data link, network, and transport layers.
• Build and improve network observability, diagnostics, telemetry, and monitoring solutions.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.