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Principal Network Engineer

Summary

Design and operate large-scale AI cloud networks, including edge fabrics, BGP routing, and Kubernetes integrations, using Juniper/Cisco/Arista NOS and 100G-400G+ Ethernet.

About the Company

TensorWave delivers seamless, secure, reliable, and resilient AI compute at scale through a versatile cloud platform designed to eliminate infrastructure barriers for AI builders.

Responsibilities

  • Own front-end network architecture including DCI, edge, ingress/egress, and control-plane networks
  • Architect and operate large edge and service networks
  • Design scalable Ethernet architectures
  • Define routing, segmentation, and isolation strategies
  • Lead hands-on deployment, validation, and troubleshooting in new data centers
  • Define and maintain reference architectures, standards, and long-term growth models
  • Own relationships with network carriers and service providers
  • Collaborate with the platform team to design network solutions for Kubernetes-centric use cases
  • Partner with the Back End Network Principal to define interface boundaries between front-end and RDMA back-end fabrics

Requirements

  • Bachelor of Science in Computer Science, Computer Engineering, or equivalent practical experience
  • 10+ years of data center networking experience
  • Proven experience with very large Ethernet fabrics and large-scale edge networks
  • Strong hands-on experience with BGP, traffic engineering, and high-availability designs
  • Experience with 100G-400G+ Ethernet environments
  • Familiarity with optical standards and transceiver types (e.g., 100G/400G/800G, SR/LR/ER, DWDM)
  • Demonstrated experience working with carrier providers to deliver production connectivity
  • Multi-vendor experience with Juniper, Cisco, Arista, or Whitebox
  • NOS experience with Junos, IOS/IOS-XE, NX-OS, EOS, or SONiC

Preferred Qualifications

  • Automation or scripting experience in Python, GO, or Bash
  • Experience with AI platforms or GPU cluster environments
  • Experience with multi-tenant or customer-facing platforms
  • Strong familiarity with Kubernetes networking concepts
  • Exposure to network automation and programmability
  • AI, GPU, or HPC exposure

See also

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