Startups · AI

Infrastructure Engineer (GPU & Compute)

Lightning AI · London, England, United Kingdom; New York, New York, United States; Remote; San Francisco, California, United States;... · Remote

← All jobs
About Lightning AI

From the PyTorch Lightning creators. Own your AI, don. Backed by Index.

About the role

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team. In this role, you will help bring up, validate, and operate large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—owning system diagnostics and validation, developing automation, improving reliability, and ensuring clusters are ready to support demanding AI/ML and HPC workloads.

What they're looking for

  • 5+ years of experience in infrastructure engineering, systems engineering, or related roles
  • Strong Linux systems experience in production environments
  • Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
  • Familiarity with bare-metal provisioning and system bring-up workflows
  • Proficiency in Python or similar scripting/programming languages for automation
  • Ability to debug complex issues across hardware, OS, GPUs, and system software
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...

Read the full posting on Lightning AI's site ↗

Infrastructure Engineering

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.