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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.

Auto-generated from active job postings · last refreshed 2026-07-05

Currently tracking 11 active AI roles, down 74% versus the prior 4 weeks. Primary focus: Ship · Engineering.

Hiring
11 / 12
Momentum (4w)
↓-51 -74%
18 opens last 4w · 69 prior 4w
Salary range
—
Tracked since
8w ago
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Feb 10
1 new role
17
1 new role
Mar 3
1 new role
10
1 new role
Jul 28
1 new role
Aug 18
1 new role
Jan 19
2 new roles
Feb 2
1 new role
Mar 2
1 new role
9
1 new role
30
60 new roles
May 11
3 new roles
18
1 new role
25
5 new roles
Jun 1
3 new roles
8
4 new roles
15
8 new roles
22
3 new roles
Jul 6
Luma AI

Luma AI

AI Frontier · Video generation

Website
lumalabs.ai

Frequently asked questions

  • What AI roles is Luma AI hiring for?

    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.

  • What stage of AI development does Luma AI focus on?

    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.

  • Where is Luma AI hiring AI talent?

    Luma AI is hiring AI talent in: United States (10 roles), Singapore (3 roles), United Kingdom (2 roles).

  • What skills does Luma AI look for in AI roles?

    Job postings at Luma AI most frequently mention: Simulation, Robotics Simulation, Robotics, Generative AI, Computer Vision.

  • How many AI roles has Luma AI posted recently?

    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).

Jobs (7)

11 AI · 54 total active
FilteredFunctionEngineering×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 2Pretrain · 1Post-train · 1Serve · 2Agent · 1Ship · 5
Function
AllEngineering · 7Research · 3Product · 2
Country
AllUnited States · 11Singapore · 3United Kingdom · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI 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.
ServeAgentEngineeringSF Bay Area, CA1w ago9
Forward Deployed Engineer (Copy)
This role focuses on deploying and integrating Luma AI's multimodal models into customer workflows, acting as a bridge between R&D and end-users. The Forward Deployed Engineer will define problems, build production systems using Luma's APIs and models, and own projects end-to-end, ensuring customer adoption and providing feedback for product development.
Ship
Engineering
SF Bay Area, CA
4w ago
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.
ServePretrainEngineeringSF Bay Area, CA5w ago8
Robotics Engineer
Founding Robotics Engineer to set up and operate robot platforms for model evaluation and data collection, owning the data pipeline from robot to training, and building test rigs for model improvement.
DataEval GateEngineeringSF Bay Area, CA +2 · Remote6w ago8
Agent Behavior Designer
Luma AI is seeking an Agent Behavior Designer to shape the logic, personality, and execution of Luma Agents. This role involves analyzing agent traces, architecting prompt stacks, building Python evaluation harnesses, and understanding user experience. While not shipping traditional production code, it requires technical literacy in Python and Git, and a strong command of language to influence AI model outputs.
AgentEngineeringSF Bay Area, CA +1 · Remote7w ago8
Forward Deployed Engineer
Forward Deployed Engineer role focused on taking Luma AI's multimodal models and building production systems for customers, owning the entire lifecycle from understanding customer needs to shipping and maintaining the solution. This role requires strong software engineering skills, customer empathy, and the ability to work across the stack to solve problems in real-world environments.
ShipEngineeringSF Bay Area, CA8w ago8
Creative Technologist
Creative Technologist role focused on building end-to-end production workflows using generative AI for image and video, translating customer briefs into prototypes, and pressure-testing new models and features. Requires hands-on experience with generative AI tools and APIs, and a background in creative industries like brands, agencies, or film production.
ShipPost-trainEngineeringLondon, United Kingdom2w ago7