Lumalabs Ai

Lumalabs Ai

Head of Global Compute Capacity & Platform Strategy

Redwood City, USA

Sponsorship not specifiedDetected 42 days ago
Distributed SystemsSupply ChainRoboticsResearchLeadership

About the role

  • As a member of the executive team, you will be the single person responsible for turning capital into capability.

Responsibilities

  • Architect Multi-Year Compute Strategy: Lead capacity planning, global vendor and cloud partnerships, on-prem vs. cloud mix, and accelerator supply chain roadmaps (H/B-series GPUs, custom silicon evaluation).
  • Direct the Platform Org: Provide strategic leadership to our infrastructure, distributed systems, and datacenter operations teams-scaling the organization to support next-generation compute demands.
  • Maximize Fleet Utilization: Oversee the architectural efficiency of our cluster configurations to deliver >50% Model Flops Utilization (MFU) on flagship training runs.
  • Command a Megawatt Budget: Negotiate, secure, and operate our largest-scale capital deployments for compute infrastructure, partnering directly with Finance to optimize unit economics and risk management.
  • This role owns Luma's global compute footprint end-to-end-bridging macro capacity strategy, multi-million dollar capital allocation, and top-tier 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.
  • Lead capacity planning, global vendor and cloud partnerships, on-prem vs. cloud mix, and accelerator supply chain roadmaps (H/B-series GPUs, custom silicon evaluation).
  • Provide strategic leadership to our infrastructure, distributed systems, and datacenter operations teams-scaling the organization to support next-generation compute demands.
  • Oversee the architectural efficiency of our cluster configurations to deliver >50% Model Flops Utilization (MFU) on flagship training runs.

Requirements

  • Familiarity with the unique capacity and latency demands of edge-to-cloud inference and real-time autonomous systems.

Nice to have

  • Scale Credentials: Experience orchestrating capital or infrastructure for training runs at the >100B-parameter or >100k-GPU-day scale.
  • Robotics/Autonomy Context: Familiarity with the unique capacity and latency demands of edge-to-cloud inference and real-time autonomous systems.

Company info

  • Compute is the ultimate physical and financial prerequisite for the robotics foundation models we are building.
  • The Role Compute is the ultimate physical and financial prerequisite for the robotics foundation models we are building.
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