Member of Technical Staff - GPU Infrastructure Engineer
Liquid AI · Remote
- Posted
- 25 days ago
- Last confirmed live
- 1 day ago
What this role involves
Liquid AI is hiring a Member of Technical Staff for GPU Infrastructure Engineering. The role involves owning the reliability and operation of GPU clusters for foundation model training, debugging issues across compute, storage, networking, and schedulers, and building tooling to improve efficiency. The ideal candidate has strong software engineering experience, deep knowledge of distributed systems, and experience operating shared compute clusters.
Skills this posting asks for
- linux
- networking
- storage
- distributed systems
- slurm
- kubernetes
- ray
- hadoop
- gpu
- hpc
- automation
- monitoring
- cloud providers
- infrastructure control planes
Requirements
- Level: senior
From the employer’s posting
ABOUT LIQUID AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electron…
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