Data Center Operations Engineer

1 Month ago • 2 Years + • Data Analysis • $127,000 PA - $163,000 PA

Job Summary

Job Description

Lambda is seeking a Data Center Operations Engineer to join their team in Salt Lake City, UT. The role involves ensuring new server, storage, and network infrastructure is properly set up, including racking, labeling, cabling, and configuration. Responsibilities include troubleshooting hardware and software issues, documenting data center layouts, and working with supply chain and manufacturing teams for timely system deployment. The engineer will also assess future data center needs, manage parts inventory, and collaborate with support teams to resolve tickets and process RMAs. Additionally, they will create installation standards and documentation, and serve as a subject-matter expert for sales engagements involving large-scale deployments.
Must have:
  • 2+ years of experience with critical infrastructure systems in data centers
  • Linux administration experience
  • Experience setting up networking appliances
  • Attention to detail and ability to follow instructions
  • Action-oriented with a strong willingness to learn
  • Willingness to travel for new data center setups
Good to have:
  • Troubleshooting experience with network layers, technologies, and protocols
  • Experience in large-scale distributed data center environments
  • Experience working with auditors for compliance requirements
  • Experience with Supermicro & Nvidia hardware
Perks:
  • Generous cash & equity compensation
  • Health, dental, and vision coverage
  • Wellness and Commuter stipends
  • 401k Plan with 2% company match (USA employees)
  • Flexible Paid Time Off Plan

Job Details

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.


If you'd like to build the world's best deep learning cloud, join us. 

*Note: This position requires presence in our Salt Lake City, UT Data Center 5 days per week.

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

  • 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

  • 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

  • Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers

  • Serve as a subject-matter expert on data center deployments as part of sales engagement for large-scale deployments in our data centers and at customer sites

  • Participate in technical discussions and provide expertise on data center integration and deployment strategies

You

  • Have 2+ 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 Linux administration experience

  • 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

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

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

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $127,000-$163,000. 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, ~400 employees (2025) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • 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

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

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.

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