Software Engineer - Product

Luma AI

You'll ship real products to real users at Luma, working close to experienced technical leaders and using AI coding agents to build at a pace that wasn't possible a few years ago. This is a role for an engineer early in their arc who's already shipping at a high level. You likely have senior-level impact but not yet the years of production scars — the large-scale failures and long-lived architectural bets. That's what you'll gain here, quickly. It's a build role, not a wait-for-tickets role. If you want gradual, tightly-scoped progression, this compresses that curve in a way that won't suit everyone. What You'll Own - Use AI coding agents to ship features and products fast. - Work directly with product, design, and engineering to turn ideas into working software. - Learn rapidly across frontend, backend, systems, product, and design. - Own meaningful product outcomes end to end. - Ship, get feedback, iterate, and build judgment on architecture, security, UX, and trade-offs by doing. First 90 Days One way the first 90 could unfold. - Days 1–30 — Immerse & Diagnose: Get into the codebase and product, and ship your first real changes. - Days 30–60 — Ship & Validate: Own a meaningful product outcome end to end with real users. - Days 60–90 — Scale & Systemize: Take on larger surface area and sharpen your architectural judgment. What You Bring - Experience building and shipping software (internships and substantial personal projects count). - Strong proficiency in at least one general-purpose language (Python, TypeScript, Go, Java). - 2+ years of professional software engineering, or clear evidence of exceptional ability: a non-trivial system you owned, a personal project with real users, a competition win, or a significant open-source contribution. - Strong fundamentals in data structures, algorithms, and systems thinking. - Experience using AI coding tools to ship non-trivial functionality. - Bachelor's in Computer Science or equivalent practical experience. Nice to Have - A demonstrated pattern of building and shipping real work. - Evidence of learning new tools and domains by building real things. - Examples of ownership: identifying problems, taking initiative, and seeing work through. This role is defined by learning speed and output, not years of experience. About Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence — the next step beyond language models comes from vision. Luma is an equal opportunity employer.