AI Data Center Network Engineer

Gimlet Labs; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Gimlet Labs is seeking a Network Engineer to design, build, and scale the network infrastructure powering production‑scale AI and distributed systems. The role covers physical infrastructure, network architecture, deployment workflows, and operational troubleshooting across high‑performance environments.

The ideal candidate will have deep data center networking knowledge, experience with spine‑leaf fabrics, ECMP, BGP, EVPN, VXLAN, and a hands‑on approach to automation, monitoring, and incident

Qualifications

• Design, deploy and operate production network infrastructure.
• Strong fundamentals in routing, switching, performance and reliability.
• Experience with spine-leaf/Clos fabrics, ECMP, BGP, EVPN, VXLAN.

Responsibilities

• Design, deploy, and scale datacenter network infrastructure supporting AI workloads and high-performance compute environments.
• Lead network provisioning, device configuration, connectivity validation, deployment testing, and production turn-up activities for new infrastructure builds and hardware expansions.
• Build and maintain scalable network topology designs, IPAM, deployment standards, and infrastructure readiness processes.
• Troubleshoot complex networking, routing, hardware, connectivity, and performance issues across physical infrastructure and distributed systems environments.
• Partner closely with infrastructure, systems, deployment, and operations teams to improve network reliability and deployment velocity.
• Drive automation and operational improvements across provisioning, configuration management, monitoring, and incident response workflows.

Skills

Network design

Routing & Switching

Data center networking

EVPN/VXLAN

BGP/ECMP

Network automation

RoCE/InfiniBand

Tools

Arista hardware

Cisco hardware

Juniper hardware

Job description

Gimlet Labs is seeking a Network Engineer to design, build, and scale the network infrastructure powering production‑scale AI and distributed systems. The role covers physical infrastructure, network architecture, deployment workflows, and operational troubleshooting across high‑performance environments.

The ideal candidate will have deep data center networking knowledge, experience with spine‑leaf fabrics, ECMP, BGP, EVPN, VXLAN, and a hands‑on approach to automation, monitoring, and incident