---
title: 'Software Engineer - Product at Luma'
canonical: 'https://feeny.ai/job/software-engineer-product-luma-sf-bay-area-dnyzykf9wh8e'
type: 'job'
last_seen: '2026-09-05'
---

# Software Engineer - Product at Luma

- **Company:** Luma
- **Location:** Sf Bay Area, CA
- **Compensation:** $170k–$290k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-02-19
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/lumalabs-ai/am9icG9zdDodtsh6pWUJjQgE8lXoaEJi

## Job description

## About Luma

When there’s a new wave of technology, you want to be at the core—that’s where you have the most impact, work on the most challenging problems, and grow the most.

Not at a startup wrapping someone else’s API. At the company building the models themselves. The models are where the real innovation is happening. They are replacing entire categories of software—and enabling entirely new ones.

At Luma, we are:

- 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

We give engineers real ownership early—and the chance to grow faster than almost anywhere else.

Where You Come In We’re looking for engineers early in their arc who are already shipping at a high level. AI has lowered the cost of building. That creates an opportunity for engineers with high agency and fast learning speed to take on meaningful ownership much earlier than before.

You may already have senior-level impact. What you likely haven’t accumulated yet are years of production scars—large-scale failures, long-lived architectural consequences, and irreversible bets.

That’s what you’ll gain here.

You’ll work on real products, ship to real users, and operate in close proximity to experienced technical leaders. You’ll be expected to move fast, take ownership, and learn by doing.

This is not a role where you wait for tickets. It’s a role where you build.

## 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

This role is defined by learning speed and output, not years of experience.

## Why This Role Exists

Most early-career engineering roles optimize for gradual progression. This one compresses the curve.

AI has lowered the cost of building. That creates space for high-agency engineers to take on meaningful ownership much earlier than before.

The work you do here will shape:

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

If you want to accelerate your growth by shipping real systems at real scale, we should talk.

## About Luma

## Company Overview
- **One-liner**: Luma builds multimodal AI models that can generate, understand, and operate in the physical world, shipping them in products like Dream Machine for creators and teams.
- **Entity Type**: Private (Series C)
- **Headquarters**: Redwood City, California, USA
- **Founded**: 2021
- **Founders**: Not publicly listed on official sources

## Core Business
- **Primary industry**: Artificial Intelligence / Generative AI / Creative AI
- **Target customers**: B2B (enterprises, agencies, developers) and B2C (creators, filmmakers)
- **Mission or purpose statement**: To build unified general intelligence that can generate, understand, and operate in the physical world.

## Products & Services
- **Luma Dream Machine**: Consumer-facing product for turning ideas into compelling visuals (video, image, audio, text) using generative AI.
- **Ray 3.2 API**: Production-grade video generation API with full creative control—multi-keyframe (up to 16), V2V up to 20 seconds, reframe, 1080p output, native HDR, and 16-bit EXR export.
- **Uni-1.1 API**: Multimodal reasoning model API for image generation (text-to-image, reference-guided) and natural-language image editing, with up to nine reference inputs per request.
- **Luma Agents**: Agentic creative workflows that plan, generate, iterate, and refine across every stage of creative work—available in the Luma App and trusted by teams at Publicis Groupe, Serviceplan, Mazda, Dentsu, and Humain.
- **Open Physical AI Lab**: An open science effort to solve generalization in physical AI, built in the open for the benefit of all humanity.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**: Total Funding: $1.3B+ (official site) / $1.057B (LinkedIn); Annual Revenue: $5M (LinkedIn estimate); Users worldwide: 30M+; Team Members: 250+
- **Notable Investors/Partners**: HUMAIN (led Series C), Andreessen Horowitz (led Series B), Amplify Partners (led Series A), Matrix (led Seed Round). Partners include Envato, Comfy, Runware, Flora, Krea, Magnific, Fal, LovArt.
- **Growth Signals**: 250+ team members, 30M+ users, $1.3B+ total funding, 45% yearly LinkedIn follower growth, recent product launches (Ray3.2, Uni-1.1, Luma Skills, Wonder Project partnership), $900M Series C raised November 2025.

## Competitive Advantages
- **Full-stack AI**: Luma builds its own foundation models end-to-end, rather than wrapping third-party models—giving it unique control over quality, latency, and cost.
- **Multimodal reasoning**: Uni-1 understands intention and responds to direction, not just prompts—offering brand intelligence at the model level.
- **Cinematic-grade output**: Ray 3.2 delivers 1080p, native HDR, 16-bit EXR export—production-ready for professional film and advertising pipelines.
- **Open science commitment**: The Open Physical AI Lab publishes research openly, attracting top-tier research talent and fostering community trust.
- **Speed & cost**: Claims less than half the price and latency of comparable models.

## Strategic Focus
- **Scaling enterprise adoption**: Custom deployment for creative teams at scale across advertising, film, and gaming production pipelines.
- **Agentic workflows**: Building Luma Agents as a force multiplier for creative teams—automating repetitive tasks while maintaining brand consistency.
- **Physical AI research**: Advancing the Open Physical AI Lab to solve generalization in physical AI, bridging digital generation with real-world operation.
- **API ecosystem growth**: Expanding the developer platform with two tiers (Build and Scale) and SDKs for Python and JavaScript/TypeScript.

## Why Work Here
- **Culture & mission**: "We believe real-world physics is the path to general intelligence. We unite research, product, and go-to-market into one engine." Described as a "lean, high-achieving team" building the future of creative intelligence.
- **Compensation & benefits**: Competitive compensation, 100% covered medical/dental/vision for employee and family, $1,500/year learning stipend, catered meals, team events, home office setup.
- **Work mode**: On-site roles in Redwood City, CA with additional offices in New York, NY; Los Angeles, CA; and international locations (Munich, Paris, London, Berlin).
- **Engineering culture**: Emphasis on shipping frontier research directly into products—"frontier research ships straight into the hands of working creatives." Hiring across research, systems engineering, infrastructure, design, and product.
- **Hiring process**: Transparent and fast—aims to complete within 2-3 weeks. Application review within a week, then recruiter screen, hiring manager interview, and team/leadership interviews.
- **Employee ratings**: 4.1/5.0 on LinkedIn (9 reviews)—Work-Life: 3.6, Compensation: 4.4, Culture: 4.1, Career: 4.2.
- **Open roles**: 46+ open positions including Forward Deployed Engineer, Research Scientist, Software Engineer, Robotics Engineer, Simulation Researcher, Site Reliability Engineer, Product Marketing Manager, Enterprise Account Executive, and more.

## Sources
1. [lumalabs.ai - Careers](https://lumalabs.ai/careers)
2. [lumalabs.ai - Official Site](https://lumalabs.ai/)
3. [lumalabs.ai - LLM Info](https://lumalabs.ai/llm-info)
4. [LinkedIn - Luma](https://linkedin.com/company/lumalabsai)

## Other roles at Luma

- [Research Scientist / Engineer – Reinforcement Learning Infrastructure](https://feeny.ai/job/research-scientist-engineer-reinforcement-learning-infrastructure-luma-sf-bay-v3kqd6ee41ag) — Sf Bay Area, CA
- [Tech Lead Manager, Inference](https://feeny.ai/job/tech-lead-manager-inference-luma-sf-bay-area-wv3qjs47nghh) — Sf Bay Area, CA
- [Creative Technologist](https://feeny.ai/job/creative-technologist-luma-london-1edm2ph4be1t) — London, United Kingdom
- [Sales Manager - West Coast](https://feeny.ai/job/sales-manager-west-coast-luma-los-angeles-qdhxhg06y85x) — Los Angeles, CA
- [Forward Deployed Engineer (EU)](https://feeny.ai/job/forward-deployed-engineer-eu-luma-london-h5nr5x8w2bhd) — London, United Kingdom
- [Product Manager, Applied Research](https://feeny.ai/job/product-manager-applied-research-luma-sf-bay-area-tgmbcragfeqt) — Sf Bay Area, CA
- [Product Manager, Core Product](https://feeny.ai/job/product-manager-core-product-luma-sf-bay-area-dx7f4b6fnr4d) — Sf Bay Area, CA
- [Social Media Editor](https://feeny.ai/job/social-media-editor-luma-los-angeles-ekyz2de2wh6f) — Los Angeles, CA
- [Senior Video Editor](https://feeny.ai/job/senior-video-editor-luma-los-angeles-1ynx82dj6hbw) — Los Angeles, CA
- [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-luma-sf-bay-area-s0n3bqsd0qy1) — Sf Bay Area, CA