Infrastructure Engineer (GPU & Compute)

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. 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. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.</li> <li data-section-id="12lc0uc" data-start="1037" data-end="1184"><strong data-start="1039" data-end="1059">Think Long-Term:</strong> We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.</li> </ul> <div class="c-message_actions__container c-message__actions">&nbsp;</div></div><h2><strong>What We're Looking For</strong></h2> <p>Lightning AI is seeking a&nbsp;<strong>GPU &amp; Compute Infrastructure Engineer</strong> to join our Infrastructure Engineering team.</p> <p>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.</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. This includes owning and evolving our image pipeline alongside provisioning and validation systems to ensure our infrastructure is consistent, performant, and reliable from day one.</p> <p data-start="1156" data-end="1429" data-is-last-node="" data-is-only-node=""><em>This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), wit

Skills