Data Center Operations Engineer (Austin)

Lambda is hiring a Data Center Operations Engineer (Austin) (United States). It pays $89k-$119k a year and Level rates it ; you can apply on Lambda.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions Dcim, Jira and Zendesk among its tools and skills.
Level classes it as a mid-level role.
Lambda has 96 other open roles on Level.

AI in this role

Install, configure, and maintain high-density GPU server infrastructure and networking for AI cloud operations in a data center.

DcimJiraZendeskLinuxSupermicroNvidia

data-center-operationshardware-troubleshootinginfrastructure-deploymentserver-management

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 Austin, TX Data Center 5 days; shift work

What You'll Do

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
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers

You

Are familiar 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
Are someone who pays attention to detail and has the ability to follow instructions
Are action-oriented and have a strong willingness to learn
Are willing to travel for bring up of new data center locations

Nice to Have

Experience with troubleshooting server hardware
Experience with/or knowledge of network topology
Familiarity with ticketing systems like JIRA and Zendesk
Experience with Linux administration
Experience with working in large-scale distributed data center environments
Experience with Supermicro & Nvidia hardware

Salary Range Information

This is a salaried non-exempt role, eligible for overtime. 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.

How we rate this

Data Center Operations Engineer (Austin) at Lambda rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Center Operations Engineer (Austin) is an open job at Lambda.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $89k-$119k a year.
The role is based in Austin, TX - Data Center.
The job was posted on September 14, 2026.
Seniority: mid.
Applications are handled by Lambda. Apply on Lambda

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data Center OperationsHardware TroubleshootingInfrastructure DeploymentServer ManagementDcimJiraZendeskLinux

Questions you could be asked

Tell me about a project where data center operations was part of your work. What did you do?
Tell me about a project where hardware troubleshooting was part of your work. What did you do?
Tell me about a project where infrastructure deployment was part of your work. What did you do?
Tell me about a project where server management was part of your work. What did you do?
Walk me through how you've used Dcim in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Center Operations, Hardware Troubleshooting, Infrastructure Deployment, Server Management, and Dcim. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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