Network Engineer
Company websitegimletlabs.ai (Gimlet Labs, opens in new tab)
Base salary $250K to $350K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (5 min ago) · observed since
About this job
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:
Design and deploy network infrastructure for new data centers and hardware expansions
Improve network performance and reliability for distributed AI workloads
Automate provisioning, configuration, validation, and monitoring workflows
Establish repeatable network standards that make infrastructure deployments faster and more reliable
Troubleshoot complex issues across network, hardware, and distributed systems boundaries
You may be a good fit if you have
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
Strong candidates may also have
Experience with AI/HPC, GPU, or large-scale distributed infrastructure.
Knowledge of AI application traffic patterns, including collective operations and workload colocation strategies that optimize network performance.
Experience with cloud networking on GCP, AWS, Azure, or similar platforms.
Experience with Arista, Cisco, Juniper, or NVIDIA networking platforms, as well as Palo Alto Networks PAN-OS.
Experience with network automation using Python, Ansible, Terraform, or similar tooling.
Familiarity with RDMA, RoCE, InfiniBand, or other high-performance networking environments.
Why join now?
Gimlet is expanding from its core technology into a production neocloud spanning new hardware, customers, and data centers.
Solve hard problems.
Own meaningful work.
Build for production.
Help define what’s next.
Agency Policy: Gimlet Labs does not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited resumes submitted without a signed agreement will be considered the property of Gimlet Labs, and no fees will be paid.
Source: Gimlet Labs on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($250,000) is above 80% of the 1,471 Data & ML roles in California listed on this site; 19 others list the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingNetwork Engineer$250K to $350K
Director of FP&A$275K to $300K
Materials and Product Lifecycle Program Manager$225K to $300K
Data Center Architect$225K to $280K
Corporate Controller$280K to $325K
Strategic Hardware Partnerships$300K to $350K
Member of Technical Staff - Compiler Engineer$180K to $400K
Chart as a table
| Role | Published base |
|---|---|
| Network Engineer (this listing) | $250K - $350K |
| Director of FP&A | $275K - $300K |
| Materials and Product Lifecycle Program Manager | $225K - $300K |
| Data Center Architect | $225K - $280K |
| Corporate Controller | $280K - $325K |
| Strategic Hardware Partnerships | $300K - $350K |
| Member of Technical Staff - Compiler Engineer | $180K - $400K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-06-01
Where this pay comes from
Location as the employer wrote it: San Francisco, CA
USD 250,000 – 350,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.