Lead global compute capacity and platform strategy for training and inference: plan multi-year capacity, manage vendor/cloud partnerships, direct infrastructure and datacenter teams, optimize cluster efficiency (>50% MFU), oversee large capital deployments, and serve as executive liaison to silicon vendors and hyperscalers to enable world-model and robotics workloads.
The Role
Compute is the ultimate physical and financial prerequisite for the robotics foundation models we are building. 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. As a member of the executive team, you will be the single person responsible for turning capital into capability.
What You'll Do
- 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.
- Unify Global Capacity: Champion the platform strategy that enables world-model training, heavy simulation rollouts, and real-time on-robot 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 large-scale 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 & commercial fluency in high-performance cluster topology, high-speed interconnects (InfiniBand/RoCE), large-scale data systems, and the economics of distributed training architectures.
- Direct operational oversight of 10k+ accelerator environments in high-performance production settings.
Preferred qualifications:
- 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.
The base pay range for this role is $250,000 – $450,000 per year.
About LumaLuma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.
Top Skills:
BuildkiteC++CanCan-UtilsDatabricksGoGraphQLLinuxLinux DriversLteSocUsbWifi
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Develop and manage Square’s always-on B2B content engine across social, thought leadership, customer stories, partner content, and industry narratives. Build content calendars, formats, briefs, campaigns, and AI-assisted workflows; coordinate cross-functional teams and external partners; oversee production through launch; and analyze performance to optimize messaging, formats, and distribution.
Top Skills:
Ai ToolsLinkedInSocial AnalyticsSocial Media Platforms
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Develop and manage Square’s always-on B2B content engine across social, thought leadership, customer stories, partner content, and industry narratives. Build content calendars, formats, briefs, campaigns, and AI-assisted workflows; collaborate with marketing, sales, creative, communications, and external partners; manage production through launch; and use performance insights to optimize content and distribution.
Top Skills:
Ai ToolsLinkedInSocial Media Platforms
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
