Data Center Operations System Engineer III (Columbus)
Lambda is hiring a Data Center Operations System Engineer III (Columbus) (United States). It pays $108k-$145k a year and Level rates it ; you can apply on Lambda.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Dcim, data center operations and hardware troubleshooting.
- Level classifies it as a senior role.
- Level lists 96 other open roles at Lambda.
- The role was posted in the last few days.
AI in this role
Data Center Operations System Engineer managing advanced GPU and networking infrastructure for an AI cloud platform.
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 Columbus, OH Data Center 5 days per week, 2 shifts, 12 hours total coverage
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 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
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
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 System Engineer III (Columbus) at Lambda rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
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 management was part of your work. What did you do?
- Tell me about a project where power systems 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 Management, Power Systems, 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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