
Luma AI’s mission is to build Multimodal AGI: AI that can generate, understand, and operate in the physical world. We develop multimodal models across video, 3D, and generative media, and ship them…

Luma AI’s mission is to build Multimodal AGI: AI that can generate, understand, and operate in the physical world. We develop multimodal models across video, 3D, and generative media, and ship them…
Headquarters: Palo Alto / San Francisco area
Founded: 2021
Employees: ~290
Tech focus: Multimodal generative AI (video, 3D, image, audio, text)
Recent product: Luma Agents / Uni-1 (Unified Intelligence) models
Notable funding: Series B $43M (2024); reports of $900M Series C led by HUMAIN
Creative content generation and 3D capture/production using multimodal AI
2021
Generative AI / Creative tools
$4.3M
Seed round reported Oct 29, 2021
$43M
Series B reported Jan 9, 2024; post-round available capital reported to exceed $70M
$900M
Reported $900M Series C led by HUMAIN (company disclosures)
“Backers named in company materials include HUMAIN, Andreessen Horowitz, AWS, AMD Ventures, NVIDIA, Amplify Partners, Matrix Partners and other venture and corporate investors.”
| Company |
|---|
About Luma AI Luma's mission is to build multimodal AI to expand human imagination and capabilities. 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.
Luma’s mission is to build multimodal AI to expand human imagination and capabilities. 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. 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 affect change. We know we are not going to reach our goal with reliable & scalable infrastructure, which is going to become the differentiating factor between success and failure.
Role & Responsibilities
Background
Strong Python and system architecture skills
Experience with model deployment using PyTorch, Huggingface, vLLM, SGLang, tensorRT-LLM, or similar
Example Projects
Tech stack Must have
Nice to have
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
65,000+
Open Roles
1,400+
New This Week
Experience with queues, scheduling, traffic-control, fleet management at scale
Experience with Linux, Docker, and Kubernetes
Bonus points:
Experience with modern networking stacks, including RDMA (RoCE, Infiniband, NVLink)
Experience with high performance large scale ML systems (>100 GPUs)
Experience with FFmpeg and multimedia processing