Network Engineer
US$250,000 – US$350,000 / yr base salary
Posted 1 Jun 2026
Advertised as “Network Engineer ”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$250,000 – US$350,000 / yr |
|---|
About us
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.
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.
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.
What success looks like
In the first 12-18 months, you will:
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Design and deploy network infrastructure for new data centers and hardware expansions
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Improve network performance and reliability for distributed AI workloads
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Automate provisioning, configuration, validation, and monitoring workflows
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Establish repeatable network standards that make infrastructure deployments faster and more reliable
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Troubleshoot complex issues across network, hardware, and distributed systems boundaries
You may be a good fit if you have
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Experience designing, deploying, and operating production data center networks
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Strong fundamentals in routing, switching, performance, and reliability
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Experience with BGP, ECMP, EVPN, VXLAN, and spine-leaf or Clos fabrics
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Knowledge of high-performance networking technologies such as RDMA, RoCE, InfiniBand, or lossless Ethernet
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The ability to troubleshoot across network, hardware, software, and distributed systems boundaries
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Experience automating network infrastructure with Python, Ansible, Terraform, or similar tools
Strong candidates may also have