Senior Infrastructure Software Engineer

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.   About the Role Lightning AI is seeking a Senior Infrastructure Software Engineer to join our Infrastructure Engineering team. Our Infrastructure Engineering team builds the software systems that operate and manage Lightning AI’s large-scale GPU and bare-metal infrastructure. We develop services, APIs, tooling, and automation that bridge the gap between our physical infrastructure and the systems our customers depend on for AI/ML training, inference, and HPC workloads. In this role, you will build production software and automation that support infrastructure throughout its lifecycle, from provisioning and bring-up through monitoring, maintenance, and decommissioning. You will design systems that enable engineers and software to interact programmatically with thousands of servers, storage systems, and high-performance networks, reducing manual operations and making infrastructure management more reliable, repeatable, and scalable. This is a software-first infrastructure role that combines strong software engineering with Linux systems and hardware-aware infrastructure automation. You will work closely with teams across Infrastructure, Networking, Data Center Operations, and Platform Engineering to bring new capacity online and continuously improve how we operate our infrastructure at scale. This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You Will Do Infrastructure Software & Automation Design, build, and operate production services, APIs, tooling, and automation for managing large-scale bare-metal and GPU infrastructure Build and extend software systems that support infrastructure provisioning, configuration, monitoring, and lifecycle management Develop reliable automation that reduces manual operational work and improves the consistency and scalability of infrastructure management Build tools and interfaces that enable engineers and other systems to interact programmatically with physical infrastructure Provisioning & Lifecycle Management Build and extend systems for server discovery, provisioning, configuration, validation, and lifecycle management Automate infrastructure bring-up and capacity deployment across large fleets of compute systems Integrate software and automation with hardware management and provisioning systems Improve tooling and workflows for managing infrastructure throughout its production lifecycle Reliability & Observability Build telemetry, logging, and observability capabilities that provide visibility into the health of our infrastructure Develop tools and automation to identify, diagnose, and respond to infrastructure and hardware issues Translate recurring operational issues and hardware failure modes into improvements to software, tooling, and automation Improve the reliability and scalability of infrastructure operations as the fleet grows Architecture & Collaboration Partner with Network, Infrastructure Operations, Data Center, Platform Engineering