Software Engineer - Product
Luma | Dream Lab · San Francisco Bay Area · 2 wk ago
Engineering$170k–$290k/yrFull-time
About Luma
The company is a leading multimodal AI research lab, having built one of the world's strongest video generation models (Ray-3.14). They are pushing beyond video towards the next generation of multimodal general intelligence models. Operating at a scale few companies can match, they have the compute and resources to support frontier research.
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
- 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
This role is defined by learning speed and output, not years of experience. The work you do here will shape how quickly research becomes product, how fast we can iterate, and how the next generation of engineers grows inside an AI-native company.
Compensation
The base pay range for this role is $170,000 – $290,000 per year.