---
title: 'Data Center Manager (Dallas) at Lambda'
canonical: 'https://feeny.ai/job/data-center-manager-dallas-lambda-dallas-dy3c6nsf60dv'
type: 'job'
last_seen: '2026-11-08'
---

# Data Center Manager (Dallas) at Lambda

- **Company:** Lambda
- **Location:** Dallas, TX
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/Lambda/07212d5b-7406-46ef-acc9-af936dc20c8d

## 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 Plano, TX Data Center 5 days per week.

## What You'll Do

- Manage and lead a team of data center technicians
- Maintain high availability, reliability, and security in the data center environment
- Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
- Troubleshoot hardware and software issues in some of the world’s most advanced systems
- Document data center layout and network topology in DCIM software
- Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
- Assess current and future state data center requirements based on growth plans and technology trends
- Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
- Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
- Oversee deployments and day-to-day operations of the data center
- Maintain uptime for assets and infrastructure, and ensure customer SLAs are met
- Participate in technical discussions and provide expertise on data center integration and deployment strategies
- Understand power/cooling requirements as well as cabling needs required within data center space to support high performance infrastructures.
- Work closely with cross-functional teams, including Hardware Engineering, Software Engineering, Supply Chain, Customer Experience and Sales, to align data center solutions with business goals
- Ensure the data center complies with Lambda’s standards and policies

You

- Have 5+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
- Have basic understanding of Linux administration
- Have experience in setting up networking appliances (Ethernet and InfiniBand) across multiple data center locations
- Are someone who pays attention to detail and has the ability to follow instructions
- Are action-oriented and have a strong willingness to learn
- Have a desire to mentor other team members and help them reach their full potential

## Nice to Have

- Experience with troubleshooting and theoretical knowledge the following network layers, technologies, and system protocols: TCP/IP, OSPF, SNMP, SSL, HTTP, FTP, SSH, Syslog, DHCP, DNS, RDP, NETBIOS, IP routing, Ethernet, switched Ethernet, 802.11x, NFS, and VLANs
- Experience with working in large-scale distributed data center environments
- Experience working with auditors to meet all compliance requirements (ISO/SOC)
- Experience Supermicro & Nvidia hardware
- Previous data center team management experience

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

- [Senior Logistics Program Manager - Supply Chain Life Cycle Operations](https://feeny.ai/job/senior-logistics-program-manager-supply-chain-life-cycle-operations-lambda-san-3vgecr0b0p6t) — San Jose, CA
- [Senior Optical Engineering Manager](https://feeny.ai/job/senior-optical-engineering-manager-lambda-dublin-r6c76vvngapq) — Dublin, Ireland
- [Senior Intercompany Accountant](https://feeny.ai/job/senior-intercompany-accountant-lambda-san-jose-zc5kw4enr0vq) — San Jose, CA
- [Recruiting Coordinator - Engineering](https://feeny.ai/job/recruiting-coordinator-engineering-lambda-san-francisco-sprg5d3hkzqj) — San Francisco, CA
- [Senior Technical Program Manager - Public Cloud](https://feeny.ai/job/senior-technical-program-manager-public-cloud-lambda-san-jose-450295ft397b) — San Jose, CA
- [Senior Product Security Engineer](https://feeny.ai/job/senior-product-security-engineer-lambda-san-francisco-y8m9pzn8e06r) — San Francisco, CA
- [Senior FP&A Analyst - Data Center Finance](https://feeny.ai/job/senior-fp-a-analyst-data-center-finance-lambda-san-francisco-jjbzx2ddf5zk) — San Francisco, CA
- [Senior FP&A Analyst - Supply Chain Finance](https://feeny.ai/job/senior-fp-a-analyst-supply-chain-finance-lambda-san-francisco-9wxjkneart2f) — San Francisco, CA
- [Director, Data Center Equipment Category Manager](https://feeny.ai/job/director-data-center-equipment-category-manager-lambda-san-jose-cm829306krc8) — San Jose, CA
- [Data Center Operations System Engineer III (Columbus)](https://feeny.ai/job/data-center-operations-system-engineer-iii-columbus-lambda-columbus-kcnkf37mcn0y) — Columbus, OH