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Luma Tech Stack

Multimodal AI models for video generation and creative workflows

Software Development San Francisco Bay Area, CA 51–200 employees Privately Held
lumalabs.ai LinkedIn

Luma builds foundational multimodal models trained on distributed GPU/TPU infrastructure (PyTorch, CUDA, Ray, Slurm) and ships them in consumer products like Dream Machine. The hiring mix is heavily research-forward (9 research roles among 66 total), with early-stage sales and GTM infrastructure (6 posted sales/marketing/partner roles in the last 30 days), suggesting a company scaling from model development toward revenue — pain points around 'no existing playbook' and 'no mature pipeline' confirm they're still establishing go-to-market and customer success from first principles.

Tech Stack 96 technologies

Core StackPyTorch AWS Python Go Kubernetes TensorFlow Ashby Greenhouse Lever Terraform Ansible Prometheus Grafana Canvas CUDA NCCL MPI OCI NVIDIA AMD InfiniBand RDMA Bash GPU TPU Ray Slurm JAX GCP ComfyUI+62 more

What Luma Is Building

◆Challenges

  • No existing playbook
  • No mature pipeline
  • Scaling research into production
  • Expanding into entertainment vertical
  • Building new function from scratch
  • No legacy process
  • Scaling customer success function
  • Expanding platform usage
  • Building customer success processes
  • Building sales pipeline

▲Active Projects

  • Develop german sales engine
  • Early revenue engine
  • Project halo compute supercluster
  • Forward deployed creative playbook
  • Control interface of foundation models
  • Early go-to-market motion
  • Large-scale multimodal model training
  • Shape platform evolution
  • Ai-accelerated production workflows
  • Customer success processes

Hiring Activity

Steady65 roles · 20 in 30d

Department

Engineering
13
Research
9
Sales
9
Product
7
Design
6
Support
6
Marketing
5
Finance
3

Seniority

Senior
47
Mid
12
Lead
3
Staff
2

Notable leadership hires: Partner Marketing Lead

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About Luma

Luma develops multimodal AI models that generate, understand, and operate in the physical world, with current focus on video and 3D generative media. They operate a distributed training infrastructure spanning AWS, OCI, NVIDIA, and AMD hardware, orchestrated via Kubernetes and Slurm. The product layer includes Dream Machine (a video generation tool for creators) and emerging AI-accelerated production workflows. The company is early in both sales infrastructure (developing a German sales engine, building initial go-to-market motions) and customer success (scaling support function, establishing processes). Teams span research, engineering, product, design, and emerging sales/marketing functions across the US and international hubs.

HeadquartersSan Francisco Bay Area, CA
Company Size51–200 employees
Hiring MarketsUnited States, Saudi Arabia, United Kingdom, Germany, Kyrgyzstan, Peru, Canada, Singapore

Frequently Asked Questions

What tech stack does Luma use?

PyTorch, CUDA, JAX, TensorFlow for model training; Kubernetes, Slurm, Ray for distributed compute; AWS, OCI, NVIDIA, AMD for infrastructure; Ashby/Greenhouse for recruiting; Terraform/Ansible for IaC; Prometheus/Grafana for monitoring.

Where is Luma headquartered?

San Francisco Bay Area, CA. Privately held, 51–200 employees, hiring across 8 countries including US, UK, Germany, Saudi Arabia, Singapore, Canada, Peru, and Kyrgyzstan.

How this profile is built

Luma's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.