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Lightning AI

Cloud-based AI development and deployment platform

Senior Network Engineer

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Experience with Cumulus NOS.
  • At least 5 years of experience in large-scale data center networking.
  • Experience with spine-leaf architectures and Layer 3 fabrics.
  • Experience with BGP, EVPN, and VXLAN.
  • Experience operating high-performance computing or GPU-dense environments.
  • Experience designing networks for hyperscalers, neoclouds, or high-scale SaaS infrastructure.
  • Experience with automation using Python, Ansible, Terraform, or similar tools.
  • Experience with network observability tooling and telemetry pipelines.
  • Proven ability to design systems that scale to thousands of nodes.
  • Strong documentation and communication skills.
  • Hands-on experience with SONiC and Junos.
  • Experience with cloud networking technologies, including VPCs, NFV, Direct Connect, and Cloud Connect.
  • Familiarity with NVIDIA networking, including Spectrum, Quantum, and BlueField.
  • Familiarity with RDMA, RoCE, or InfiniBand fabrics.
  • Experience with multi-region backbone design.
  • Exposure to bare-metal provisioning systems.
  • Experience working in high-growth infrastructure startups.

Responsibilities

  • Design and deploy scalable spine/leaf network architectures for AI data centers.
  • Engineer high-performance Ethernet fabrics supporting GPU clusters and AI workloads.
  • Build and maintain EVPN/VXLAN, BGP, and high-speed routing environments.
  • Optimize east-west traffic flows for AI training and inference operations.
  • Support RoCE/RDMA networking and low-latency transport technologies.
  • Support backbone, data center interconnect, wide-area network, and edge connectivity solutions.
  • Collaborate with compute, storage, AI platform, and operations teams to deliver integrated infrastructure solutions.
  • Develop automation and Infrastructure-as-Code solutions for network provisioning and operations.
  • Troubleshoot complex network, performance, and congestion issues across distributed environments.
  • Improve network observability, telemetry, and operational visibility.

Desired Qualifications

  • Familiarity with NVIDIA networking, including Spectrum, Quantum, and BlueField.
  • Familiarity with RDMA, RoCE, or InfiniBand fabrics.
  • Experience with multi-region backbone design.
  • Exposure to bare-metal provisioning systems.
  • Experience working in high-growth infrastructure startups.

About the Company

Lightning AI

Cloud-based AI development and deployment platform

Lightning AI builds a cloud-based platform for AI development that covers the full lifecycle from ideation to deployment. It provides a browser-based environment called AI Studio, a virtual laptop with persistent storage and configurable environments, enabling users to code on CPUs, debug on GPUs, and scale to multi-node deployments without local setup. The platform supports tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics to help data scientists and developers prototype, train on GPUs, and optimize models. Pricing is subscription-based, targeting enterprises and individual developers who need robust, scalable AI development capabilities. The goal is to streamline AI creation and deployment by simplifying access to compute, tooling, and scalable infrastructure in one cloud-based workspace.

Company size
201-500
Company stage
Late Stage VC
Total funding
$108.6M
Headquarters
New York City, New York
Founded
2015

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