The Sr. AI Network Systems Engineer role is part of the Platform Systems Engineering team at Microsoft, focusing on developing networking solutions for next-generation MAIA AI systems. This position involves collaboration across various teams to deliver high-performance networking for AI training and inference platforms. The role encompasses integration and validation of networking hardware and technologies, ensuring reliability and performance. The ideal candidate will contribute to the development of AI-native silicon and system-level solutions for Microsoft's cloud infrastructure.

• Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience.
• 5+ years of experience developing or validating networking, compute, storage, or accelerator hardware systems.
• 5+ years of experience designing, integrating, validating, or troubleshooting Ethernet-based networking infrastructure, including switches, NICs, optics, PHYs, or high-speed SerDes technologies.
• 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.

• Develop and integrate scale-up and scale-out networking solutions for MAIA AI training and inference systems.
• Translate AI/ML workload requirements into system-level networking requirements.
• Evaluate architecture tradeoffs across performance, reliability, power, scalability, serviceability, and cost.
• Drive integration, bring-up, and qualification of networking hardware technologies.
• Collaborate across silicon, firmware, hardware, software, and OS teams to resolve complex integration issues.
• Develop end-to-end validation strategies covering functionality, performance, scale, interoperability, reliability, and stress.
• Characterize AI fabric performance including bandwidth, latency, link utilization, and congestion behavior.
• Drive qualification of next-generation electrical and optical networking technologies.
• Lead root-cause analysis of complex networking issues across various hardware and software components.
• Develop and improve telemetry, diagnostics, validation automation, and network health monitoring.

• 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.