Software Engineer - Product

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.

• 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.

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.

• Experience building and shipping software (internships and substantial personal projects count).
• Strong proficiency in at least one general-purpose language (Python, Type Script, 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.

• 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.