Luma AI
AI Frontier · Video generation
- Website
- lumalabs.ai
Luma AI currently has nine active AI-related job listings. The application stage dominates hiring, accounting for 44% of roles, followed by data roles at 22%. Engineering is the most frequent function, with research and product also represented. The company is hiring across the United States, Singapore, and the United Kingdom. Frequent tech tags include multimodal, model serving, and vision, suggesting a focus on visual AI capabilities. Over the last 30 days, Luma AI has added eight new AI roles, representing a 300% increase compared to the prior 30-day period.
AI Frontier · Video generation
Currently tracking 11 active AI roles, down 74% versus the prior 4 weeks. Primary focus: Ship · Engineering.
Luma AI currently has 11 active AI-related roles in our index. The most common open titles are: Head of Global Compute Supply & Platform Strategy, Research Scientist - World Model, Applied Research Scientist / Engineer, Creative Technologist, Forward Deployed Engineer. Most positions are in Engineering and Research.
Luma AI's active AI hiring is concentrated in: application (45%), serving infrastructure (18%), data (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Luma AI is hiring AI talent in: United States (10 roles), Singapore (3 roles), United Kingdom (2 roles).
Job postings at Luma AI most frequently mention: Simulation, Robotics Simulation, Robotics, Generative AI, Computer Vision.
In the past 30 days, Luma AI has posted 5 new AI-related roles. That is a -29% change versus the prior 30 days (7 → 5).
| Title | Stage | AI score |
|---|---|---|
| Tech Lead Manager, Inference Tech Lead Manager for the inference platform team at Luma AI. This role is hands-on, requiring at least 50% individual contribution to designing, building, and debugging the serving stack. Responsibilities include leading and growing the team, setting technical direction, and partnering across research, product, and infrastructure. The team owns the entire serving stack, from request routing to fleet-wide orchestration across thousands of GPUs, aiming to maximize efficiency and reliability while enabling rapid research iteration. The role also involves managing SLOs, economics, and optimizing inference workloads across heterogeneous fleets. | ServeAgent | 9 |
| Head of Global Compute Supply & Platform Strategy Head of Global Compute Supply & Platform Strategy for a robotics foundation model company. This role is responsible for the end-to-end global compute footprint, including capacity strategy, capital allocation, and systems architecture. The goal is to design a scaling roadmap to ensure research and robotics teams have the necessary compute resources to ship frontier world models. The role involves leading infrastructure, distributed systems, and datacenter operations teams, maximizing fleet utilization, managing large capital budgets, and serving as the primary interface with compute vendors. |
| ServePretrain |
| 8 |