Infrastructure Engineer (GPU & Compute)

Who We AreLightning 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.Our ValuesMove Fast: We act with speed and precision, breaking down big challenges into achievable steps. Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision. Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best. Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft. Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters. What We're Looking ForLightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.In this role, you will own image management, system diagnostics, and validation across 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—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.What You'll DoSystems, Image & Validation InfrastructureOwn and evolve systems for image management, deployment, and validation across bare-metal infrastructureRun and maintain test clusters used for system validation, diagnostics, and bring-upValidate firmware, drivers, and OS images across compute and GPU-enabled systemsSupport hardware qualification efforts for next-generation platformsGPU Diagnostics & PerformanceOwn GPU diagnostics and validation workflows across large-scale infrastructureDiagnose and resolve complex issues across GPUs, drivers, OS, and hardware layersAnalyze system and GPU performance using tools such as NVIDIA DCGMIdentify failure patterns and drive improvements in system stability and validation coverageAutomation & ToolingBuild and maintain automation for provisioning, validation, and system bring-upDevelop Python-based tools and workflows to improve efficiency and reduce manual operational overheadImprove the reliability, repeatability, and scalability of image pipelines and validation systemsSystems & OperationsManage and operate Linux-based systems in production and validation environmentsManage virtualization technologySupport bare-metal provisioning workflows, including PXE and image-based systemsInterface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debuggingCross-Functional CollaborationPartner with Infrastructure, Hardware, and Data Center teams on system bring-up and validationCollaborate with platform and ML teams to ensure systems meet workload requirementsContribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructureWhat You'll NeedRequired Qualifications5+ years of experience in infrastructure engineering, systems engineering, or related rolesStrong Linux systems experience in production environmentsHands-on experience with GPU-enabled systems and tools such as NVIDIA DCGMFamiliarity with bare-metal provisioning and system bring-up workflowsProficiency in Python or similar scripting/programming languages for automationAbility to debug complex issues across hardware, OS, GPUs, and system softwareIdeal ExperienceExperience with high-performance interconnects (e.g., InfiniBand, NVLink)Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflowsExperience with hardware management interfaces such as iDRAC, IPMI, or RedfishData center operations experience, including working with physical hardwareExperience supporting AI/ML or HPC workloads at scaleExperience with GPU validation frameworks or large-scale hardware qualification processesCompensationWe 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 - $200,000 USDBenefits And PerksWe offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.Benefits IncludeComprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)Retirement and financial wellness support (U.S.); Pension contribution (U.K.)Generous paid time off, plus holidaysPaid parental leaveProfessional development supportWellness and work-from-home stipendsFlexible work environmentAt Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.