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Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is looking for a Principal AI Network Architect to help define and deliver operational measures of success for hardware manufacturing, improve the planning process, quality, delivery, scale, and sustainability related to Microsoft cloud hardware, and envision and implement future technical solutions that will manage and optimize the Cloud infrastructure.

Requirements

• 5+ years of experience in designing AI backend networks and integrating them into large-scale GPU systems.
• Proven expertise in system architecture across compute, networking, and accelerator domains.
• Deep understanding of RDMA protocols (RoCE, InfiniBand), congestion control (DCQCN), and Layer 2/3 routing.
• Experience with optical interconnects (e.g., PSM, WDM), link budget analysis, and transceiver integration.
• Familiarity with signal integrity modeling, link training, and physical layer optimization.
• Experience architecting backend networks for AI training and Inference workloads, including Hamiltonian cycle traffic and collective operations (e.g., all-reduce, all-gather).
• Hands-on design of high-radix switches (≥400Gbps per port), orthogonal chassis, and cabled backplanes.

Responsibilities

• Spearhead architectural definition and innovation for next-generation GPU and AI accelerator platforms, with a focus on ultra-high bandwidth, low-latency backend networks.
• Drive system-level integration across compute, storage, and interconnect domains to support scalable AI training workloads.
• Partner with silicon, firmware, and datacenter engineering teams to co-design infrastructure that meets performance, reliability, and deployment goals.
• Influence platform decisions across rack, chassis, and pod-level implementations.
• Cultivate deep technical relationships with silicon vendors, optics suppliers, and switch fabric providers to co-develop differentiated solutions.
• Evaluate and articulate tradeoffs across electrical, mechanical, thermal, and signal integrity domains.
• Shape the direction of hyperscale AI infrastructure by engaging with standards bodies (e.g., IEEE 802.3), influencing component roadmaps, and driving adoption of novel interconnect protocols and topologies.

Other

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
• seasoned engineers with a dedicated passion for customer focused solutions, insight and industry knowledge
• Microsoft is an equal opportunity employer.
• If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.