# Member of Technical Staff - GPU Infrastructure Engineer at Liquid AI

- Company: Liquid AI
- What the company does: Liquid AI builds efficient Liquid Foundation Models (LFMs) for on-device, edge, and cloud AI with low latency, privacy, and hardware-aware deployment.
- Company website: https://www.liquid.ai
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: Remote
- Posted: 2026-07-28
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/liquid-ai/ec3912e6-3751-4b5a-8769-4509bdd750c4
- Page: https://www.1752.vc/careers/jobs/liquid-ai-member-of-technical-staff-gpu-infrastructure-engineer/

## About the role

Our Cluster Infrastructure team owns the compute environments that power foundation model training and research at Liquid AI. We are looking for a hands-on software engineer to keep our GPU clusters reliable, improve resource efficiency, and build the tooling that allows researchers to focus on model development rather than infrastructure.

## What they're looking for

- Strong software engineering experience, with the ability to build production-quality infrastructure tooling and automation
- Deep knowledge of distributed systems, Linux, networking, and storage
- Experience operating a shared compute cluster or distributed training platform
- A track record of supporting production users and turning recurring failures into durable solutions
- The technical depth to partner effectively with senior research and infrastructure engineers

Tags: Research & Engineering