Senior Infrastructure Software Engineer
Senior Infrastructure Software EngineerNew York, New York, United StatesAbout Lightning AILightning 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 WorkThe 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 RoleLightning 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 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 DoInfrastructure Software & AutomationDesign, build, and operate production services, APIs, tooling, and automation for managing large-scale bare-metal and GPU infrastructureBuild and extend software systems that support infrastructure provisioning, configuration, monitoring, and lifecycle managementDevelop reliable automation that reduces manual operational work and improves the consistency and scalability of infrastructure managementBuild tools and interfaces that enable engineers and other systems to interact programmatically with physical infrastructureProvisioning & Lifecycle ManagementBuild and extend systems for server discovery, provisioning, configuration, validation, and lifecycle managementAutomate infrastructure bring-up and capacity deployment across large fleets of compute systemsIntegrate software and automation with hardware management and provisioning systemsImprove tooling and workflows for managing infrastructure throughout its production lifecycleReliability & ObservabilityBuild telemetry, logging, and observability capabilities that provide visibility into the health of our infrastructureDevelop tools and automation to identify, diagnose, and respond to infrastructure and hardware issuesTranslate recurring operational issues and hardware failure modes into improvements to software, tooling, and automationImprove the reliability and scalability of infrastructure operations as the fleet growsArchitecture & CollaborationPartner with Network, Infrastructure Operations, Data Center, Platform Engineering, and other teams to define requirements and build new infrastructure capabilitiesParticipate in architectural discussions and help define the technical direction of Lightning AI's infrastructure softwareMake pragmatic design decisions that balance reliability, scalability, simplicity, and speed of executionWrite clear design documents and technical documentation and contribute to engineering best practicesWho You AreRequired Qualifications8+ years of professional software engineering, infrastructure engineering, or related experienceStrong software engineering fundamentals and experience building production backend systems in Python or similar object-oriented programming languagesStrong experience with Linux in production environmentsExperience building APIs, tooling, or automation for managing infrastructure at scaleFamiliarity with containerization and orchestration conceptsUnderstanding of HPC and bare-metal infrastructure fundamentals, including provisioning and out-of-band managementAbility to navigate ambiguity and make pragmatic architecture decisions while building for long-term reliability and scaleExperience working in a startup or other fast-paced environment with a high degree of ownership and autonomyIdeal ExperienceExperience with bare-metal hardware troubleshooting and provisioning, including technologies such as PXE/iPXE, BMC, Redfish, or IPMI, particularly with Dell hardwareExperience with GPU servers, either in bare-metal environments or under virtualizationExperience with network switches, routers, and firewalls, particularly SONiC switches, Palo Alto firewalls, or Juniper NetworksExperience with high-performance storage systems, particularly VASTExperience supporting AI/ML or HPC infrastructure at scaleCompensationWe are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.The anticipated annual base salary range for this role is:$180,000 - $220,000 USDBenefits and PerksWe offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.Meaningful Equity: RSUs that give employees a stake in the company's long-term success.Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.Professional Development: Annual learning and development allowance to support your professional growth.Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.In-Office Meals: Complimentary meals at our office hubs.Benefits may vary by location, team,