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