Principal AI Network Hardware Systems Engineer

Experteer Overview In this role you will architect and deploy networking infrastructure for Microsoft’s MAIA AI platform, spanning high-speed hardware and AI-focused fabric. You will collaborate across silicon, firmware, hardware, software, and Azure teams to deliver scalable, high-performance AI networking. You will influence architectural direction and drive validation, performance, and reliability at hyperscale. This is an opportunity to shape AI networking for next-generation cloud infrastructure and contribute to Microsoft’s AI leadership. Compensation / Benefits * Define networking requirements for large-scale AI clusters and deliver solutions from concept to datacenter deployment * Lead architecture reviews and influence AI networking roadmaps * Define operation models, telemetry, and serviceability for AI infrastructure * Design and validate IP-based networking spanning TCP/IP, UDP, routing, QoS, and traffic engineering * Analyze transport behavior for large AI workloads and optimize network paths for distributed training/inference * Design, validate, and optimize RDMA-based networking and AI fabric technologies * Develop validation methodologies for AI traffic patterns and collective communication workloads * Develop and execute networking validation strategies for functionality, performance, scale, and reliability * Lead end-to-end debugging across layers; perform packet-level analysis and telemetry-based troubleshooting * Build observability, diagnostics, and automation for network validation and health assessment Tasks * 8+ years NW HW development * 8+ years GPU-based SU/SO development * 8+ years hands-on experience with HS interface architecture and development * Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field OR Bachelor’s Degree in same fields with 8+ years experience * Ability to meet Microsoft security screening requirements Key requirements *

aaaar_ network paths for distributed training/inference * Design, validate, and optimize RDMA-based networking and AI fabric technologies * Develop validation methodologies for AI traffic patterns and collective communication workloads * Develop and execute networking validation strategies for functionality, performance, scale, and reliability * Lead end-to-end debugging across layers; perform packet-level analysis and telemetry-based troubleshooting * Build observability, diagnostics, and automation for network validation and health assessment Tasks * 8+ years NW HW development * 8+ years GPU-based SU/SO development * 8+ years hands-on experience with HS interface architecture and development * Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field OR Bachelor’s Degree in same fields with 8+ years experience * Ability to meet Microsoft security screening requirements Key requirements *