Lumalabs Ai

Staff Product Software Engineer

Redwood City, USA · Staff+

Sponsorship not specifiedDetected 153 days ago

Distributed SystemsFull-Stack DevelopmentAgentic AIDesign SystemsResearchLeadership

About the role

About Luma A new class of intelligence is emerging, systems that understand and generate the world across video, images, audio, and language.
It's a full-stack engineering problem, spanning training systems, inference, product architecture, and the tight feedback loops between them.
When a new technological wave begins, the highest leverage place to be is at the foundation.

Direct AI coding agents to build production systems quickly, while maintaining discipline around system design, ownership, and real-world behavior.
Decide what to build and what not to build as implementation costs drop.
Co-own product direction in partnership with design and research, defining both what we build and how we build it.
Own critical outcomes end-to-end, from problem framing to deployment and iteration.
Identify and eliminate recurring classes of design mistakes before they scale.
Multiply the Organization Design systems and workflows that allow small teams to ship with outsized impact.
Strong technical depth: System design, distributed systems, security, infrastructure.

Required: You have 8+ years of experience building and shipping production software.
You have led multiple non-trivial projects, owning technical direction and execution end-to-end.
You have made high-stakes technical decisions that materially affected a system or product.
You are fluent with AI coding tools and have used them to ship real functionality in production or substantial side projects.
you must be world-class at directing AI agents to achieve real product and engineering outcomes, and at guiding technical direction for a team operating at high speed.

User empathy, prioritization, taste in UX. (Ideally, both) What Sets You Apart You've been personally responsible for at least one clearly measurable, real-world success.

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.
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.
The playbook is not written.
The era of humans writing code is over.
AI makes implementation cheap.
What to build.
What not to build.
Where to draw boundaries.
What problems deserve structure, and which should stay flexible.
With AI tools, weak decisions compound faster.

Building multimodal AGI is not just a research problem.
Not at a startup wrapping someone else's API.
At the company building the models themselves.
The frontier is not incremental improvement.
These models are replacing entire categories of software and enabling entirely new ones.
How research turns into products.
How those products scale.
How fast we can move without losing rigor.
How engineering operates in an AI-native company.
If you want to help set the standard for technical leadership in this new era of AI, we should talk.

This listing is sourced directly from Lumalabs Ai's careers page and normalized into a canonical job model.