# Software Engineer - Product at Luma AI

- Company: Luma AI
- Role group: Product & Engineering
- Location: Redwood City
- Type: FullTime
- Remote: yes
- Posted: 2026-07-24
- Status: active
- Apply: https://jobs.ashbyhq.com/lumaai/93802d6a-cdad-49e1-8154-9cf005d7e3b8?ref=companies-hiring.click

## Description

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.
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