Member of Technical Staff | Product (Invitation Only)

Luma AI

Luma AI

Product, IT
Palo Alto, CA, USA
Posted on Mar 9, 2026
The Opportunity

You are receiving this link because your background aligns with a specific foundational search within Luma AI. We build the entire stack, from foundational research to the end-user product, from the ground up.

We are looking for Members of Technical Staff across the stack (Frontend, Backend, iOS, AI Agents, and SRE) to define the infrastructure and interfaces that turn our frontier research into creative tools for millions of users. This is a position focused on new development rather than maintenance, offering the opportunity to architect the core systems of Dream Machine.

Full-Stack AI Lab

We believe that text alone is insufficient for general intelligence. To solve complex problems, models must learn from audio, video, and images, just as the human brain does.

At Luma, we operate as a full-stack AI lab. We train our own foundational models and build the products that sit on top of them. With over $1.3 billion in funding and a team of just over 100 people, we offer the resources to compete at the highest level while maintaining the agility and individual impact of an early-stage startup.

Where You Come In

Regardless of your specific discipline, you will not just implement specs. You will sit at the intersection of Engineering, Design, and Research, architecting the systems that transform frontier model capabilities into reliable, high-performance, and magical tools.

What You Will Build

Depending on your area of expertise, you will own one or more of the following foundational pillars:

  • Novel Interfaces (Frontend & iOS): You will invent the user experience for generative video, crafting low-latency, high-polish interfaces that make complex AI feel intuitive and responsive.
  • The Intelligence Layer (Backend & Agents): You will architect the systems that serve our proprietary Omni models, building the infrastructure for autonomous AI agents and asynchronous creative workflows.
  • Infrastructure at Scale (SRE & Systems): You will manage the reliability and performance of massive GPU clusters, solving complex challenges in compute, storage, and networking to support model training and inference.
  • Full-Stack Architecture: You will bridge the gap between model capabilities and product requirements, building end-to-end features that define a new category of creative software.

The Profile We Are Looking For

  • New Development: Your background demonstrates a history of creating, launching, and building new systems rather than primarily refactoring or migrating existing ones. You thrive in ambiguity and prefer shipping new features.
  • High Agency: Whether you have been a founder or an early engineer at a high-growth product startup, you are comfortable owning the stack from the database to the interface.
  • Research Collaboration: You understand that in a full-stack AI Lab, engineering influences the research. You want to be in the room where the product and model are designed together.

Core Requirements

  • 8+ Years of Engineering Experience: With a proven track record of shipping impactful, user-focused products or infrastructure.
  • Deep Fluency in Your Stack: We are looking for mastery in one or more of our core technologies:
    • Languages: Python, Go, Swift, TypeScript/JavaScript, Linux
    • Frameworks & Tools: React, SwiftUI, Kubernetes, APIs, Docker, PyTorch, Cloud Infrastructure, Terraform, Prometheus, Grafana, or modern AI agent frameworks
  • Product-Centricity: You care deeply about the end-user experience and understand that backend architecture is only as good as the product capabilities it enables.