Senior Network Engineer

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, DCI, WAN, and edge connectivity solutions
• Develop automation and Infrastructure-as-Code (IaC) solutions for network provisioning
• Troubleshoot complex network, performance, and congestion issues

Requirements

• Experience with Cumulus NOS
• 5+ years of experience in large-scale data center networking
• Experience in spine-leaf architectures and L3 fabrics
• Experience with BGP, EVPN, and VXLAN
• Experience operating high-performance computing (HPC) or GPU-dense environments
• Experience in automation with Python, Ansible, or Terraform
• Experience with network observability tooling and telemetry pipelines

Preferred Qualifications

• Familiarity with NVIDIA networking (Spectrum, Quantum, 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

Benefits

• Comprehensive medical, dental, and vision coverage
• Retirement and financial wellness support
• Generous paid time off and holidays
• Paid parental leave
• Professional development support
• Wellness and work-from-home stipends

About the Company

Lightning AI is the company behind PyTorch Lightning, building an end-to-end platform for developing, training, and deploying AI systems.