The Role Compute is the ultimate physical and financial prerequisite for the robotics foundation models we are building This role owns Lumas global compute footprint endtoendbridging macro capacity strategy multimillion dollar capital allocation and toptier systems architecture You will design our scaling roadmap from the silicon up ensuring our research and robotics teams have the uninterrupted runway they need to ship frontier world models As a member of the executive team you will be the single person responsible for turning capital into capability What Youll Do Architect MultiYear Compute Strategy Lead capacity planning global vendor and cloud partnerships onprem vs cloud mix and accelerator supply chain roadmaps HBseries GPUs custom silicon evaluation Direct the Platform Org Provide strategic leadership to our infrastructure distributed systems and datacenter operations teamsscaling the organization to support nextgeneration compute demands Maximize Fleet Utilization Oversee the architectural efficiency of our cluster configurations to deliver gt50 Model Flops Utilization MFU on flagship training runs Command a Megawatt Budget Negotiate secure and operate our largestscale capital deployments for compute infrastructure partnering directly with Finance to optimize unit economics and risk management Unify Global Capacity Champion the platform strategy that enables worldmodel training heavy simulation rollouts and realtime onrobot inference to seamlessly share a single elastic fleet Act as Principal Executive Interface Serve as the primary commercial and strategic bridge to NVIDIA AMD hyperscalers and frontier silicon vendors Qualifications 10 years of engineering leadership experience in largescale distributed systems infrastructure or technical supply chain with a proven track record of leading compute platform strategy at a frontier AI lab hyperscaler or major autonomy program Deep technical amp commercial fluency in highperformance cluster topology highspeed interconnects InfiniBandRoCE largescale data systems and the economics of distributed training architectures Direct operational oversight of 10k accelerator environments in highperformance production settings Preferred qualifications Scale Credentials Experience orchestrating capital or infrastructure for training runs at the gt100Bparameter or gt100kGPUday scale RoboticsAutonomy Context Familiarity with the unique capacity and latency demands of edgetocloud inference and realtime autonomous systems
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