Senior Principal Network Engineer - Austin, Texas, United States

Originally posted 16 March 2026 by the employer.

About the role

The Senior Principal Network Engineer helps design, deploy, and optimize AI data center networks for distributed AI training and inference workloads. The position partners with the Network Architecture Lead to scale high-performance computing (HPC) network fabrics supporting GPU clusters across hardware, networking, and AI application layers.

What you'll do

- Assist in defining non-blocking AI network fabrics based on Clos spine-leaf-super-spine architectures for large-scale distributed AI workloads. - Optimize the performance of lossless Ethernet fabrics using congestion control mechanisms such as PFC, ECN, and DCQCN to support RDMA/RoCEv2 communication. - Lead initiatives to implement NetDevOps practices and develop automation for provisioning, configuration management, and network remediation. - Design and deploy high-resolution telemetry pipelines to monitor network health, detect microbursts, and analyze congestion patterns. - Support modeling, deployment, configuration, and monitoring of data center network fabrics across scale-out, scale-up, and front-end networks. - Provide technical leadership and mentorship to network engineers while establishing best practices and operational standards.

What you'll need

- BS or MS or equivalent experience in Computer Science, Electrical Engineering, Network Engineering, or a related technical discipline. - 12+ years of progressive network engineering experience with at least 3 years in hyperscale, high-density, or HPC data center environments. - Expert-level knowledge of data center routing and switching protocols including BGP, OSPF, and EVPN-VXLAN architectures. - Strong operational understanding of RDMA networking technologies such as RoCEv2 or InfiniBand. - Hands-on experience with modern merchant silicon networking platforms and NOS platforms such as Arista EOS, Cisco NX-OS, or SONiC. - Experience deploying high-speed network technologies including 400G/800G optics and large-scale fabric architectures, alongside proficiency in Python, Go, Bash, or similar automation tools.

Skills: AI data center networks, HPC network fabrics, lossless Ethernet fabrics, RDMA, NetDevOps, network telemetry