---
title: 'Data Center Operations System Engineer (Salt Lake City) at Lambda'
canonical: 'https://feeny.ai/job/data-center-operations-system-engineer-salt-lake-city-lambda-bluffdale-6r85ebkdqj87'
type: 'job'
last_seen: '2026-11-08'
---

# Data Center Operations System Engineer (Salt Lake City) at Lambda

- **Company:** Lambda
- **Location:** Bluffdale, UT
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/Lambda/a46d9486-4d9f-47cd-acb5-1a6ee2cac6f4

## 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 Salt Lake City Data Center 5 days; shift work

## What You'll Do

- Ensure all new server, storage, and network infrastructure is properly racked, labeled, cabled, and configured in accordance with organizational standards.
- Diagnose and resolve complex hardware and software issues across advanced enterprise systems.
- Maintain comprehensive documentation of data center layouts and network topologies within DCIM software.
- Collaborate with supply chain and manufacturing teams to facilitate the timely deployment of systems and execute project plans for large-scale initiatives.
- Oversee parts depot inventory and track equipment across the complete lifecycle—delivery, storage, staging, deployment, and handoff—within each data center facility.
- Partner closely with the Hardware Support team to ensure prompt resolution of data center infrastructure support tickets.
- Coordinate with the RMA team to ensure defective components are returned and replacements are ordered efficiently.
- Adhere to established installation standards and documentation regarding placement, labeling, and cabling to maintain consistency and operational discoverability across all facilities.

You

- Familiarity with critical data center infrastructure systems, including power distribution, airflow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management.
- Professional fluency in both English and Spanish.
- High attention to detail and a proven ability to follow complex technical instructions precisely.
- Proactive work ethic with a strong commitment to continuous professional development.
- Willingness to travel to support the initialization and turn-up of new data center locations.

## Nice to Have

- Prior experience troubleshooting enterprise server hardware.
- Demonstrated knowledge of network topology and architecture.
- Familiarity with enterprise ticketing platforms, such as JIRA and Zendesk.
- Hands-on experience with Linux system administration.
- Experience working within large-scale, distributed data center environments.
- Technical experience with Supermicro and Nvidia hardware infrastructure.

Salary Range Information The annual base salary range for this position has been established using market data and key organizational factors. Final compensation offers may vary above or below this range depending on an individual candidate's unique qualifications, relevant experience, and specialized expertise relative to the requirements outlined in the position 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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