Principal Network Engineer

TensorWave•Las Vegas, NV

About The Position

We are seeking a Network Principal to own the front-end network architecture for large-scale AI and GPU-accelerated infrastructure. This role is responsible for the design, implementation, and evolution of customer-facing, service, and control-plane networks that interface with large GPU, storage, and RDMA back-end fabrics. This role operates as a peer to the Back End Network Principal, with shared responsibility for end-to-end platform scalability, reliability, and performance.

Requirements

10+ years data center networking experience
Proven experience with very large Ethernet fabrics and large-scale edge networks
Strong hands-on experience and expertice with BGP, traffic engineering, and high-availability designs
Experience with 100G–400G+ Ethernet environments
Demonstrated experience working directly with carriers and service providers to deliver production connectivity
Multi-Vendor Experience (Juniper, Cisco, Arista, Whitebox)
NOS Experience (Junos, IOS/IOS-XE, NX-OS, EOS, SONiC)
Automation or scripting experience in Python, GO, Bash, or equivalent

Nice To Haves

AI platform or GPU cluster environments
Multi-tenant or customer-facing platforms
Strong familiarity with Kubernetes networking concepts
Exposure to network automation and programmability
100G+ environments
AI, GPU, or HPC exposure

Responsibilities

Own front-end network architecture including DCI, edge, ingress/egress, and control-plane networks
Design scalable Ethernet architectures
Architect and operate large edge and service networks
Define routing, segmentation, and isolation strategies
Partner closely with the Back End Network Principal to define clean interface boundaries between front-end and RDMA back-end fabrics
Lead hands-on deployment, validation, and troubleshooting in new and production data centers
Define and maintain reference architectures, standards, and long-term growth models
Own relationships with network carriers and service providers, including: IP coordination with Registrars Circuit design and capacity planning Carrier selection and solution evaluation Coordinating delivery timelines, turn-ups, and escalations Ensuring edge connectivity aligns with platform growth
Work in collaboration with the Kubernetes platform team to design and deliver network solutions for Kubernetes-centric use cases, including: Ingress and service exposure architectures Hybrid and cloud integration VPC-to-VPC and multi-environment connectivity Network constructs required to support Kubernetes networking models at scale