Luma AI
Staff AI Infrastructure Engineer
Redwood City, CA · Staff+
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- As a Staff AI Infrastructure Engineer, you'll be a technical authority who turns deep systems knowledge into repeatable, company-wide reliability, and a leader other strong engineers want to work with.
- This is close-to-the-metal work - kernels, containers, schedulers, networking, storage, GPU behavior - under demand hard enough that yesterday's solutions break regularly.
- It's also a technical-leadership role: you'll set the bar and grow the team.
Responsibilities
- You'll own the reliability of
Requirements
- Deep expertise in Linux and distributed systems.
- Experience operating GPU or accelerator clusters in real production environments.
- Comfort debugging across hardware, kernel, runtime, and orchestration, and understanding how systems behave under contention and at scale.
- Strong fluency in Kubernetes and modern open-source infrastructure.
- You write code and build automation, and think in bottlenecks, failure modes, and trade-offs.
- Judgment engineers trust, especially when things break.
Nice to have
- You raise reliability standards company-wide and influence product and research architecture early.
- Curiosity for how models use infrastructure, because improving systems expands what becomes possible.
- Luma is an equal opportunity employer.
Compensation
- $30k-$60k
Benefits
- We believe multimodality is critical for intelligence - the next step beyond language models comes from vision.
Company info
- Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
This listing is sourced directly from Luma AI's careers page and normalized into a canonical job model.