Infrastructure Engineer
Job description
About the role
<div class="content-intro"><h2>Who <strong>We Are</strong></h2> <p>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.</p> <p>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.</p> <p>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.</p> <h2 class="PDq2pG_selectionAnchorContainer" data-section-id="o4nw1n" data-start="0" data-end="18">The Way We Work</h2> <p data-start="20" data-end="222">The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. The listing location is London, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States.
Key facts
What you'll do
- <div class="content-intro"><h2>Who <strong>We Are</strong></h2> <p>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.</p> <p>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.</p> <p>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.</p> <h2 class="PDq2pG_selectionAnchorContainer" data-section-id="o4nw1n" data-start="0" data-end="18">The Way We Work</h2> <p data-start="20" data-end="222">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:</p> <ul> <li data-section-id="vkpt18" data-start="319" data-end="461"><strong data-start="321" data-end="343">Move with Urgency:</strong> We move quickly, make thoughtful decisions, and keep momentum.
- We value action over perfection and learn by shipping.</li> <li data-section-id="1c7e9p5" data-start="462" data-end="598"><strong data-start="464" data-end="483">Take Ownership:</strong> We own outcomes, not just our individual work.
- We make decisions that move the company forward and follow through.</li> <li data-section-id="1wm6yoj" data-start="599" data-end="751"><strong data-start="601" data-end="624">Communicate Openly:</strong> We communicate directly, seek to understand, and create clarity for others.
- Honest conversations help us move faster together.</li> <li data-section-id="1w7531e" data-start="752" data-end="874"><strong data-start="754" data-end="776">Build Great Teams:</strong> We lead by example, empower others, and create healthy teams where people can do their best work.</li> <li data-section-id="jb6f5l" data-start="875" data-end="1036"><strong data-start="877" data-end="895">Raise the Bar:</strong> We're always improving ourselves.
Requirements
- Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.</p> <p>We serve solo researchers, startups, and large enterprises.
- 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.</p> <p>You will play a key role in GPU and system-level qualification, running validation environments and test clusters, and improving the tooling and workflows that support infrastructure bring-up at scale.
About Lightning AI
Lightning AI provides an all-in-one environment for building and deploying machine learning models. You write, test, and refine code directly in the browser, moving from quick experiments to full training runs and serving. The platform handles scaling and deployment so you can focus on model behavior. It is created by the team behind PyTorch Lightning.
Software engineering work usually means turning product intent into systems that run in production. Engineers write and review code, break large changes into reviewable pieces, and watch how those changes behave after they ship. Most teams share on-call or incident habits so outages get a clear owner. Collaboration with product and design is part of the job, not an extra. The duties above are the ones this listing actually states for this opening.