Senior Network Engineer – Data Center & AI Inference

Gimlet Labs, Inc.; San Francisco (CA); Hybride; USD 250 000 - 350 000; Plein temps

Avantages offerts par ce poste

Equity

Résumé du poste

Gimlet Labs, Inc. seeks a Network Engineer to design, deploy, and operate production data center networks as the platform scales. You will build the network fabric connecting compute, storage, and distributed systems while enabling automated provisioning and monitoring.

The role focuses on high-performance networking, data center design, and operational excellence to support AI workloads and large-scale infrastructure.

Qualifications

• Experience designing, deploying, and operating production data center networks.
• Strong fundamentals in routing, switching, performance, and reliability.
• Hands-on with BGP/ECMP/EVPN/VXLAN; spine-leaf or Clos fabrics.
• Knowledge of high-performance tech such as RDMA/InfiniBand.
• Ability to troubleshoot across network, hardware, software, and distributed systems.
• Automation experience with Python, Ansible or Terraform.

Responsabilités

• Design and deploy network infrastructure for data centers and hardware expansions.
• Improve network performance and reliability for distributed AI workloads.
• Automate provisioning, configuration, validation, and monitoring workflows.
• Troubleshoot complex issues across network, hardware, software, and distributed systems boundaries.
• Establish repeatable network standards to speed deployments.

Connaissances

Routing & switching

BGP/ECMP/EVPN/VXLAN

Spine-leaf/Clos fabrics

RDMA/InfiniBand

Network automation

Outils

Python

Ansible

Terraform

Description du poste

Gimlet Labs, Inc. seeks a Network Engineer to design, deploy, and operate production data center networks as the platform scales. You will build the network fabric connecting compute, storage, and distributed systems while enabling automated provisioning and monitoring.

The role focuses on high-performance networking, data center design, and operational excellence to support AI workloads and large-scale infrastructure.