Principal AI Network Architect

Microsoft 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 engineers to help achieve that mission. As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the Cloud Hardware Systems Engineering (CHSE) team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware. We are looking for engineers with a dedicated passion for customer focused solutions, insight and industry knowledge to envision and implement future technical solutions that will manage and optimize the Cloud infrastructure. We are looking for a Principal AI Network Architect to join the team.

Define the long-term architecture and technology roadmap for Microsoft's AI scale-up networking systems.\u00a0Architect next-generation scale-up switches, including system architecture, switch topology, ASIC selection, radix planning, electrical and optical interconnect strategies.\u00a0Define network architectures for AI clusters, racks, pods, and multi-rack scale-up domains.\u00a0Drive architecture tradeoff analysis across performance, scalability, reliability, power, cost, serviceability, and operational efficiency.\u00a0Define scale-up network requirements based on AI training, inference, and emerging workload demands.\u00a0Lead architecture studies for switch silicon, optics, interconnect technologies, control planes, and AI fabrics.\u00a0Define switch system requirements, architecture specifications, and design guidelines for future Microsoft AI platforms.\u00a0Drive architecture decisions for scale-up and scale-out networks, including topology, oversubscription, resiliency, fault tolerance, and workload placement optimization.\u00a0Partner with system, silicon, optics, software, firmware, and operations teams to co-design end-to-end AI infrastructure solutions.\u00a0Develop performance, capacity, reliability, and TCO models to evaluate architecture alternatives and guide investment decisions.\u00a0Evaluate emerging networking technologies and influence industry roadmaps across switch silicon, optics, and networking ecosystems.\u00a0Provide technical direction and architectural guidance to switch development teams, ODM/JDM partners, and platform engineering organizations.