Staff AI Infrastructure Engineer - Frontier GPU Scale

lumalabs-ai; San Francisco (CA); On-site; USD 230,000 - 360,000; Full time

Job summary

Luma AI is seeking a senior infrastructure engineering leader to define reliability for a new generation of AI infrastructure. You will guide GPU clusters, runtimes, and orchestration while partnering with research and product teams to scale models and workloads.

You will set technical direction, hire and develop engineers, and shape platform strategy to ensure performance and reliability at scale across a fast-moving research environment.

Qualifications

• Deep expertise in Linux and distributed systems.
• Experience operating GPU/accelerator clusters in production.
• Strong fluency in Kubernetes and modern open-source infra.

Responsibilities

• Architect and operate large, heterogeneous GPU environments under extreme demand.
• Improve utilization and performance where small gains materially change outcomes.
• Resolve failures spanning hardware, OS, runtimes, and orchestration.
• Eliminate entire classes of instability and build scalable reliability.
• Lead and mentor engineers to raise reliability standards across the company.

Skills

Linux

Distributed systems

Kubernetes

GPU clusters

Automation

Debugging

Performance optimization

Code writing

Job description

Luma AI is seeking a senior infrastructure engineering leader to define reliability for a new generation of AI infrastructure. You will guide GPU clusters, runtimes, and orchestration while partnering with research and product teams to scale models and workloads.

You will set technical direction, hire and develop engineers, and shape platform strategy to ensure performance and reliability at scale across a fast-moving research environment.