Staff AI Infra Engineer: GPU Fleet Reliability Leader

Luma AI; United States; Remote; USD 210,000 - 320,000; Full time

Job summary

Luma AI is seeking a Staff AI Infrastructure Engineer to own the reliability of our large GPU fleet, spanning scheduling, efficiency, and resilience. This role involves close-to-the-metal work with kernels, containers, schedulers, networking, and storage, under high-demand conditions.

You will lead and grow a team, partner with research, and shape how infrastructure evolves as models scale, ensuring latency remains predictable while performance improves.

Qualifications

• Deep expertise in Linux and distributed systems.
• Experience operating GPU or accelerator clusters in real production environments.
• Strong fluency in Kubernetes and modern open-source infrastructure.

Responsibilities

• Architect and operate large, heterogeneous GPU environments under extreme demand.
• Resolve failures spanning hardware, OS, runtimes, and orchestration, and eliminate instability.
• Define how infrastructure and workloads evolve as cluster size and concurrency grow.

Skills

Linux

Distributed systems

GPU clusters

Kubernetes

Open-source infra

Automation

Production ownership

Tools

Docker

Job description

Luma AI is seeking a Staff AI Infrastructure Engineer to own the reliability of our large GPU fleet, spanning scheduling, efficiency, and resilience. This role involves close-to-the-metal work with kernels, containers, schedulers, networking, and storage, under high-demand conditions.

You will lead and grow a team, partner with research, and shape how infrastructure evolves as models scale, ensuring latency remains predictable while performance improves.