---
title: 'Senior Network Engineer at Lambda'
canonical: 'https://feeny.ai/job/senior-network-engineer-lambda-san-francisco-v1bavntwjncy'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Network Engineer at Lambda

- **Company:** Lambda
- **Location:** San Francisco, CA
- **Compensation:** $250k–$417k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-12
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/lambda/0b24367a-59b6-4e1e-a9f4-7c23542536fa/application

**Skills:** IT Networking, Data Center Networking, Next-Generation Firewalls, Cloud Provider Networking, CLOS/Spine and Leaf fabrics, EVPN/VXLAN, ECMP, BGP, Linux Command Line, Python, Ansible, Network APIs, Git, Arista, Juniper, Cisco, Cumulus/SONiC, Opengear, Datadog, Clickhouse

> Build and scale high-performance cloud networks, ensuring high availability through monitoring and redundancy. Automate network configuration management, manage next-generation firewalls, and maintain monitoring tools while participating in on-call rotations.

## Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

## What You’ll Do

- Help to build and scale Lambda's high performance cloud network
- Work on deploying and configuring networking Hardware for new and existing clusters
- Ensure high availability of our network through monitoring, failover, and redundancy
- Contribute to automation of network configuration management and operation
- Work with internal and external customers to resolve network related issues
- Help with deploying and maintaining network monitoring and management tools
- Will be part of day2 operations and on-call rotation for Network Engineering team

You

- Have 10+ years of experience in IT and networking space
- Have 6+ years of experience in designing and operating production Data Center type of networks
- Have led the implementation of large production-scale networking projects
- Experience managing Next-Generation Firewalls (e.g. Fortigate)
- Have experience with cloud providers networking (such as AWS, GCP, OCI)
- Expert in CLOS/Spine and Leaf fabrics,EVPN/VXLAN, ECMP, BGP, and fast convergence techniques.
- Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals
- Strong automation skills (Python, Ansible) and network APIs and worked with git or similar source control systems
- Production experience with multiple network gear vendors (Arista, Juniper, Cisco, Cumulus/SONiC, Opengear)
- Experience with Networking Monitoring stack (Datadog, Clickhouse, Grafana, Prometheus, gNMI, OTel)

## Nice to Have

- Have knowledge or experience maintaining Software Defined Networks (SDN)
- Experience automating network configuration within public clouds, with tools like Terraform/Ansible/Salt
- Hands-on with HPC/AI networking: RoCEv2 and/or InfiniBand (Congestion Control, VLs, partitions), GPUDirect RDMA concepts.
- Experience with DWDM technologies and SD-WAN
- Understanding of data center power/space/cooling trade-offs and their impact on topology choices
- Have experience with virtualization technology, like ESXi, KVM, and VMs management
- Experience with LoadBalancers like F5, NetScaler

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

## About Lambda

- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use

## Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

## Other roles at Lambda

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- [Senior Manager, Detection and Response](https://feeny.ai/job/senior-manager-detection-and-response-lambda-bellevue-f6jvw1b07xwk) — Bellevue, WA
- [Data Center Construction Site Foreman (Dallas)](https://feeny.ai/job/data-center-construction-site-foreman-dallas-lambda-united-states-vc7fg15nb275) — United States
- [Construction Administrator](https://feeny.ai/job/construction-administrator-lambda-san-jose-ky6swv0mtr9v) — San Jose, CA
- [Commodity Sourcing Manager – AI Infrastructure](https://feeny.ai/job/commodity-sourcing-manager-ai-infrastructure-lambda-san-jose-9zfy7qfg5bw5) — San Jose, CA
- [Data Center Operations Systems Engineer (San Jose)](https://feeny.ai/job/data-center-operations-systems-engineer-san-jose-lambda-san-jose-qabp07hbyq33) — San Jose, CA
- [Senior Software Engineer - Compute](https://feeny.ai/job/senior-software-engineer-compute-lambda-san-francisco-py5yr29fwf6a) — San Francisco, CA
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