From the PyTorch Lightning creators. Own your AI, don. Backed by Index.
About the role
Lightning AI is seeking a Storage Infrastructure Engineer to join our Infrastructure Engineering team. In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.
What they're looking for
- 5+ years of experience in infrastructure engineering, systems engineering, or related roles
- Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
- Strong Linux systems experience in production environments
- Proficiency in Python or similar scripting/programming languages for automation
- Experience working with bare-metal infrastructure and hardware-oriented systems
- Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
More about this role
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 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...
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