Lead Infrastructure and Reliability Engineer (Systems & Scale)

About Luma AIA new class of intelligence is emerging, systems that understand and generate the world across video, images, audio, and language.Building multimodal AGI is not just a modeling challenge. It is an infrastructure challenge at the edge of what hardware, software, and organizations can support.At Luma, we operate rapidly scaling 10k+ GPU fleets, pushing utilization, throughput, and reliability hard enough that yesterday's solutions break regularly. Researchers depend on this infrastructure to move the frontier forward. Customers depend on it to power real creative work.Many companies run accelerators. Very few sit directly next to the teams inventing the models that redefine what those accelerators must do.At Luma, improvements to scheduling, efficiency, and reliability immediately translate into faster research iteration and entirely new product capabilities.We are still early. The playbook is still being written. A single exceptional engineer can reshape how the company operates.Where You Come InOur Infrastructure Engineering team is a systems engineering group with company-level responsibility. At Luma, reliability engineers work directly with the researchers and products pushing the limits of multimodal intelligence.We operate close to the metal:KernelsContainersSchedulersNetworkingStorageGPU behaviorBut we are also responsible for something bigger:Turning deep systems knowledge into repeatable, scalable reliability for the entire company. We are hiring a leader who will define that direction. You will be a technical authority, an organizational force multiplier, and a magnet for other great engineers.What You'll OwnReliability of the FrontierArchitect and operate large, heterogeneous GPU environments under extreme demandImprove utilization and performance where small gains materially change company outcomesResolve failures that span hardware, OS, runtimes, and orchestrationEliminate entire classes of instabilityBuild mechanisms that make heroics unnecessaryScaling Training & InferenceDefine how infrastructure and workloads evolve as cluster size and concurrency growDesign scheduling, placement, and resource management approaches for increasingly complex jobsWork directly with research to build the systems required for new model capabilitiesEnsure inference platforms scale rapidly without sacrificing reliability or latencyAnticipate where today's abstractions will fail and redesign ahead of themBuilding the OrganizationHire and develop exceptional systems and reliability engineersSet the bar for technical depth, judgment, and production ownershipShape architecture early through strong partnerships with research and productTranslate reliability constraints into long-term platform strategyWho You AreRequired:Deep expertise in Linux and distributed systemsExperience operating GPU / accelerator clusters in real production environmentsStrong fluency in Kubernetes and modern open-source infrastructureComfortable debugging across hardware → kernel → runtime → orchestrationYou understand how systems behave under contention and at scaleYou write code and build automationYou think in bottlenecks, failure modes, and tradeoffsEngineers trust your judgment, especially when things breakImportant: This role requires comfort operating close to upstream and close to the metal. If most of your experience has been inside highly abstracted internal platforms where others owned the underlying machinery, this is unlikely to be a match.Leadership ExpectationsYou raise reliability standards across the companyYou influence product and research architecture earlyYou build strong partnerships, not ticket queuesYou attract and level up exceptional engineersYou are curious how models use infrastructure, because improving systems expands what becomes possibleWhy This Role Is SpecialMost infrastructure roles optimize mature systems. This one helps define how reliability works for a new generation of AI infrastructure.The decisions you make here will influence:How research progressesHow products scaleHow customers trust usAnd how the engineering organization growsIf you want to build the reliability foundations of a company operating at the technological frontier, we should talk.