Backed by Menlo and Sapphire.
About the role
As a Network Engineer, you will build the network infrastructure connecting Gimlet’s compute, storage, and distributed systems. Your work will shape how our data centers are designed, deployed, and operated as the platform scales.
What they're looking for
- Experience designing, deploying, and operating production data center networks
- Strong fundamentals in routing, switching, performance, and reliability
- Experience with BGP, ECMP, EVPN, VXLAN, and spine-leaf or Clos fabrics
- Knowledge of high-performance networking technologies such as RDMA, RoCE, InfiniBand, or lossless Ethernet
- The ability to troubleshoot across network, hardware, software, and distributed systems boundaries
- Experience automating network infrastructure with Python, Ansible, Terraform, or similar tools
More about this role
Gimlet is building the first multi-silicon neocloud designed for fast, efficient AI inference.
We combine large-scale compute infrastructure with an execution platform that partitions AI workloads and maps each stage to the hardware best suited to run it.
We work with foundation labs, hyperscalers, and AI-native companies, giving our team access to technical problems spanning frontier models, production infrastructure, and emerging hardware.
As a Network Engineer, you will build the network infrastructure connecting Gimlet’s compute, storage, and distributed systems. Your work will shape how our data centers are designed, deployed, and operated as the platform scales.
You will work across network architecture, physical infrastructure, provisioning, deployment, and production operations. You will design high-performance network fabrics, bring new sites and hardware online, automate operational workflows, and troubleshoot performance and reliability issues across network and systems boundaries.
Design and deploy network infrastructure for new data centers and hardware expansions
Improve network performance and reliability for distributed AI workloads
Automate provisioning,...
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