Software Engineer - Product

About Luma When there's a new wave of technology, you want to be at the core—that's where you have the most impact, work on the most challenging problems, and grow the most. Not at a startup wrapping someone else's API. At the company building the models themselves. The models are where the real innovation is happening. They are replacing entire categories of software—and enabling entirely new ones. At Luma, we are: A leading multimodal AI research lab, having built one of the world's strongest video generation models (Ray-3.14)Pushing beyond video toward the next generation of multimodal general intelligence modelsOperating at a scale few companies can match, with the compute and resources to support frontier research ($900M Series C)Focused on the creative domain, where multimodal systems can have immediate real-world impactShipping tightly integrated products that turn research breakthroughs into tools creators actually use We give engineers real ownership early—and the chance to grow faster than almost anywhere else. Where You Come In We're looking for engineers early in their arc who are already shipping at a high level. AI has lowered the cost of building. That creates an opportunity for engineers with high agency and fast learning speed to take on meaningful ownership much earlier than before. You may already have senior-level impact. What you likely haven't accumulated yet are years of production scars—large-scale failures, long-lived architectural consequences, and irreversible bets. That's what you'll gain here. You'll work on real products, ship to real users, and operate in close proximity to experienced technical leaders. You'll be expected to move fast, take ownership, and learn by doing. This is not a role where you wait for tickets. It's a role where you build. What You'll DoUse AI coding agents to ship features and products at a pace that would have been impossible a few years agoWork directly with product, design, and engineering teams to turn ideas into working softwareLearn rapidly across multiple domains—frontend, backend, systems, product, designOwn meaningful product outcomes end-to-endShip fast, get feedback, iterate, and improveBuild your judgment about architecture, security, UX, and trade-offs by doing Minimum QualificationsBachelor's degree in Computer Science or equivalent practical experienceExperience building and shipping software (internships and substantial personal projects qualify)Strong proficiency in at least one general-purpose programming language (e.g., Python, TypeScript, Go, Java)2+ years of professional software engineering experience, or can provide evidence of exceptional ability demonstrated through at least one standout accomplishment, such as:Owning and delivering a non-trivial software system or featureA substantial personal project with real users or adoptionSuccess in a competitive programming contest, hackathon, or technical competitionA significant open-source contribution or widely used library What We Look ForA demonstrated pattern of building software and shipping real workEvidence of learning new tools, patterns, or domains by building real thingsExperience using AI coding tools to build or ship non-trivial functionalityStrong programming fundamentals (data structures, algorithms, systems thinking)Examples of ownership—identifying problems, taking initiative, and seeing work through This role is defined by learning speed and output, not years of experience. Why This Role Exists Most early-career engineering roles optimize for gradual progression. This one compresses the curve. AI has lowered the cost of building. That creates space for high-agency engineers to take on meaningful ownership much earlier than before. The work you do here will shape: How quickly research becomes productHow fast we can iterateHow the next generation of engineers grows inside an AI-native company If you want to accelerate your growth by shipping real systems at real scale, we should talk. CompensationThe base pay range for this role is $170,000 – $290,000 per year. About Luma Luma'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.