Level

Lambda

Data Center Operations System Engineer - Plano, TX

Lambda is hiring a Data Center Operations System Engineer - Plano, TX for a remote role open to applicants in United States. It pays $109k-$145k 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 lists this role as remote.
  • Tools and skills the posting cites include Dcim, data center and hardware troubleshooting.
  • Level lists 98 other open roles at Lambda.
  • The role was posted in the last few days.

AI in this role

Ensure reliable operation and deployment of advanced GPU and networking server infrastructure for AI cloud computing.

dcim
data-centerhardware-troubleshootinginfrastructurenetworkinggpu

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; 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 GPU and Networking systems.

  • Document and update 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

  • Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.

  • 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

  • Have strong past experiences 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

  • Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting

  • Basic knowledge of cable optics and the different types of use

  • Solid understanding of single and three phase power theories

  • PDU balancing and why it is important

  • Familiar with multiple cable media types and their uses

  • Knowledge of cold isle and hot isle containment

  • Solid understanding of server hardware and boot process

  • Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.

  • Working with product management, support, and other teams to align operational capabilities with company goals.

  • Translating business priorities into technical and operational requirements.

  • Supporting cross-functional projects where infrastructure plays a critical role.

  • Are action-oriented and willingness to train junior staff on best practices

  • Are willing to travel for bring up of new data center locations as needed

Nice to Have

  • Have 3+ 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

  • Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.

  • Experience with/or knowledge of DDP or SCM cluster storage systems.

  • Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk

  • Advanced experience with Linux administration

  • Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72

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.

How we rate this

Data Center Operations System Engineer - Plano, TX 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data CenterHardware TroubleshootingInfrastructureNetworkingGPUDcim

Questions you could be asked

  1. Tell me about a project where data center was part of your work. What did you do?
  2. Tell me about a project where hardware troubleshooting was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where networking was part of your work. What did you do?
  5. Tell me about a project where gpu was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Center, Hardware Troubleshooting, Infrastructure, Networking, and GPU. 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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