Principal Network Engineer

Posted 2 Days Ago
Hiring Remotely in USA
Remote
Expert/Leader
Artificial Intelligence • Cloud • Software
The Role
The Principal Network Engineer will design, implement, and manage front-end network architecture for large-scale AI infrastructures, ensuring performance and reliability while collaborating with various teams.
Summary Generated by Built In

Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.

About the Role

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.

Core 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

Required Experience

  • 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

Preferred Experience

  • AI platform or GPU cluster environments

  • Multi-tenant or customer-facing platforms

  • Strong familiarity with Kubernetes networking concepts

  • Exposure to network automation and programmability

Preferred Experience

  • 100G+ environments

  • AI, GPU, or HPC exposure

We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future.

What We Bring

  • Mission driven company

  • Competitive Salary

  • Stock Options

  • 100% paid Medical, Dental, and Vision insurance

  • Life and Voluntary Supplemental Insurance

  • Short Term Disability Insurance

  • Flexible Spending Account

  • 401(k)

  • Flexible PTO

  • Paid Holidays

  • Parental Leave

  • Mental Health Benefits through Spring Health

Top Skills

Arista
Bash
Bgp
Cisco
Ethernet
Go
Juniper
Kubernetes
Nos
Python
Whitebox
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The Company
HQ: Las Vegas, Nevada
56 Employees

What We Do

TensorWave is a cutting-edge cloud platform designed specifically for AI workloads. Offering AMD MI300X accelerators and a best-in-class inference engine, TensorWave is a top-choice for training, fine-tuning, and inference. Visit tensorwave.com to learn more.
Send us a message to try it for free.

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