Software Engineer - Product

About Luma

• 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 models
• Operating 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 impact
• Shipping tightly integrated products that turn research breakthroughs into tools creators actually use

Where You Come In

What You’ll Do

• Use AI coding agents to ship features and products at a pace that would have been impossible a few years ago
• Work directly with product, design, and engineering teams to turn ideas into working software
• Learn rapidly across multiple domains—frontend, backend, systems, product, design
• Own meaningful product outcomes end-to-end
• Ship fast, get feedback, iterate, and improve
• Build your judgment about architecture, security, UX, and trade-offs by doing

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience
• Experience 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 feature
  • A substantial personal project with real users or adoption
  • Success in a competitive programming contest, hackathon, or technical competition
  • A significant open-source contribution or widely used library

What We Look For

• A demonstrated pattern of building software and shipping real work
• Evidence of learning new tools, patterns, or domains by building real things
• Experience using AI coding tools to build or ship non-trivial functionality
• Strong programming fundamentals (data structures, algorithms, systems thinking)
• Examples of ownership—identifying problems, taking initiative, and seeing work through

Why This Role Exists

• How quickly research becomes product
• How fast we can iterate
• How the next generation of engineers grows inside an AI-native company

Compensation

About Luma