Principal AI Back-End Network Systems Lead
Core
Own the end-to-end architecture, definition, and execution of back-end network products for large-scale AI training and inference systems, translating requirements into system targets for bandwidth, latency, and efficiency.
Role type
Principal AI Back-End Network Systems Lead
Builds
Scale-up and scale-out network fabrics for AI/ML workloads
Domain
AI/ML Infrastructure, High-Performance Computing, Datacenter Networking
Deliverable
production ML models
Required skills
AI/ML networking architecture, high-speed electrical/optical technologies (SerDes/PHY), switch systems (ASICs), RDMA/RoCE, congestion control (DCQCN), network modeling and simulation, fleet operations, cross-layer debugging
Preferred skills
Experience with 400G/800G+ links, SONiC/Linux networking, collective communication libraries, automated validation frameworks
Technologies
SerDes, PHY, RDMA, RoCE, DCQCN, SONiC, Linux, Ethernet, NICs, DPUs, 400G/800G optics
Responsibilities
Define product requirements and architecture for scale-up/scale-out networks; translate AI training/inference needs into system targets; lead technology assessments and risk mitigation; align hardware, firmware, and software teams; establish analytical models for topology and performance; mentor engineers and drive executive communication
Seniority
Principal, hands-on IC with strategic leadership
