Data Center Technician
Lightning AI
| Company | Lightning AI |
| Category | Skilled Technician |
| Location | Lisle |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 15 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
The Way We Work
The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:
Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
What We're Looking For
Lightning AI is looking for Data Center Technicians to join our team in our newest HPC Data Center in Chicago. In this role, you'll be monitoring some of the world’s most advanced equipment and systems as you support day-to-day hardware, power, and network operations.
This is a full-time role, on-site in Lisle, Illinois. We are not able to provide sponsorship for this position.
What You'll Do
Help maintain hardware in the data center, including tasks such as configuration, maintenance, monitoring, and troubleshooting assistance
Help diagnose and resolve system/compute/network issues to restore functionality
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
Troubleshoot server hardware and software issues
Become a subject matter expert on all the physical technical aspects of the data center build, from power deployment to containment solution to cabling infrastructure
Proactively monitor onsite hardware to get ahead of any failures
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
What You Will Need
Required Qualifications
2+ years of experience in data centers and technically proficient about critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Strong Linux administration experience
Experience setting up networking appliances (Ethernet and InfiniBand)
Attention to detail: precision in debugging work (such as cabling, patching, or configuring equipment), documenting fixes and changes
Resourceful Problem-solver: doesn’t need to be explicitly told to solve an issue, can figure out solutions under constraints
Ability t
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