---
title: 'Senior Staff Network Engineer at Lambda'
canonical: 'https://feeny.ai/job/senior-staff-network-engineer-lambda-bellevue-eepyy2nv8k3q'
type: 'job'
last_seen: '2026-09-20'
---

# Senior Staff Network Engineer at Lambda

- **Company:** Lambda
- **Location:** Bellevue, WA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-09-20
- **Apply:** https://jobs.ashbyhq.com/lambda/d3d44a31-07e2-4292-a244-75a9350b2869

## 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 Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

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. You will be joining a team of software, hardware and network engineers building one of the largest AI training and inference networks in the world. Lambda has 10x'd over the last three years and the network has to keep pace. As a Senior Staff Network Engineer you'll have the opportunity to be across all aspects of the network, including industry leading backend, frontend, backbone and edge networks. You will lead the projects that design, build and scale it. You are the engineer the team routes its hardest problems to, and the one whose designs other engineers follow. Our vision is bold and is not an incremental exercise. We will continually re-evaluate and reinvent our current fabric topology, routing design and the automation underneath all of it, while operating the existing network flawlessly for all customer workloads. This role will report to our Senior Network Engineering leader and will work alongside an existing, highly capable team of network engineers.

## What You’ll Do

- Own the architecture of major areas of Lambda's network end to end — you make the design calls, you help build it, and you're connected to how they hold up in production
- Lead large networking projects that may span multiple teams, from design through build to turn-up, and drive them to completion
- Write the designs, RFCs and reviews other engineers build from, and hold the bar in design review for work across the team
- Be the deep technical escalation point for the hardest production problems — the packet path, the routing table, the vendor's firmware, the code
- Drive the automation of your domain, replacing manual operational work with software that holds up under scale
- Partner with hardware, platform and product teams to resolve technical questions that cross team boundaries
- Qualify and integrate new network hardware and software, and hold vendors to account on defects and roadmap
- Guide partner teams to automate and scale through robust software systems and services
- Guide partner teams build the right telemetry and automation to ensure our network health is observable and self healing
- Mentor senior and mid-level engineers, and raise the bar through design review, code review and hiring
- Contribute to the multi-year technical strategy for Lambda's network, and own the parts of it that fall in your area
- Work with internal and external customers to resolve network related issues
- Operate what you build. You'll take part in day 2 operations and the on-call rotation, because the fastest feedback loop between design and reality runs through the pager

You

- Have owned the technical direction of a significant area of a production network — you can walk us through a design you made, why, what it cost, and what you'd change
- Have led large production-scale networking projects across multiple teams, from design through delivery
- Expert in large network designs to achieve maximum availability and performance
- Deep expertise in data center, backbone and internet protocols and technology
- Experience building and tuning networks for low latency, fast convergence and high availability
- Have experience with cloud provider networking (such as AWS, GCP, OCI)
- Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals
- Strong automation skills (Python, Ansible, Jinja), network APIs, and git or similar source control
- Production experience with multiple network gear vendors (Arista, Juniper, Cisco, Cumulus/SONiC, Opengear)
- Have raised the technical bar of engineers around you through mentorship and design review
- Excellent communicator both written and verbal. You leverage high quality written artifacts to inform high quality decision making and get approval on problems and solution opportunities

## Nice to Have

- Have knowledge or experience maintaining Software Defined Networks (SDN)
- Experience automating network configuration
- Hands-on with HPC/AI networking: RoCEv2 and/or InfiniBand (Congestion Control, VLs, partitions), GPUDirect RDMA concepts.
- Experience with DWDM technologies and SD-WAN

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)

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