Staff Product Engineer | Core Systems

The Opportunity Luma AI operates as a full-stack AI lab, training foundational models and building the products that utilize them. We have secured the capital and compute resources of a major tech company, raising over $1.3 billion, while maintaining the agile, high-impact structure of a focused startup. This unique position allows our core engineering team to operate with immense leverage, deploying resources that few other companies can match to solve the hardest problems in multimodal intelligence.

Where You Come In You will serve as a technical authority within the engineering organization, architecting the foundational systems that power our generative media platform. This is a hands-on leadership role where you will define the technical strategy for our backend infrastructure, ensuring it can support massive-scale inference and complex agentic workflows. You will work across the entire stack, from the database layer to the orchestration of our proprietary models.

What You Will Build Distributed Systems Architecture: Design and implement high-throughput systems capable of coordinating massive GPU clusters and serving millions of concurrent users with low latency. The Intelligence Layer: Architect the sophisticated backend logic that translates frontier research into reliable product capabilities, solving novel challenges in asynchronous processing and state management. Technical Strategy: Lead the definition of our backend roadmap, making high-stakes decisions on technology selection, schema design, and infrastructure scalability.

The Profile We Are Looking For Systems Generalist: You possess deep, versatile expertise across the backend spectrum, with the ability to operate from the kernel level up to the API contract. Architectural Authority: You have a track record of designing complex systems from first principles, demonstrating the judgment to navigate trade-offs between speed, reliability, and scale in a high-growth environment. Technical Depth: Expert-level command of Python or Go, with profound knowledge of Kubernetes, distributed databases, and cloud infrastructure.