# Member of Technical Staff - AI Cloud Infrastructure at Emerald AI

- Company: Emerald AI
- What the company does: Emerald AI turns AI data centers into flexible grid assets, unlocking power capacity for AI while protecting grid reliability and energy affordability.
- Company website: https://www.emeraldai.co
- Type: Startups (AI role)
- Level: Senior
- Location: Bay Area
- Work setup: Remote
- Posted: 2026-08-05
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/emerald-ai/85bf88c8-e91c-4463-b5ad-e885b8dfaf11
- Page: https://www.1752.vc/careers/jobs/emerald-ai-member-of-technical-staff-ai-cloud-infrastructure/

## About the role

Emerald AI is building the world's first power flexible managed cloud infrastructure. We are hiring a senior infrastructure engineer to architect and stand up our managed cloud services from end to end. The work covers the platform, the control plane, and the customer experience that together make up a managed AI cloud.

## What they're looking for

- At least 7+ years of experience in infrastructure or platform engineering, including the architecture and launch of a managed cloud or AI platform that reached production users
- Strong experience with Kubernetes and Slurm and offering them as managed service
- Production experience deploying or operating Lustre or a comparable parallel filesystem such as GPFS, Weka, VAST, or BeeGFS, with a solid understanding of parallel filesystem architecture, tuning, and failure modes
- A strong grasp of cloud service fundamentals, including control planes, tenancy and isolation models, APIs, quota and metering systems, and the operational discipline of running a service that customers pay for
- Deep Linux systems knowledge, mature infrastructure as code practice with tools such as Terraform and Ansible, and solid programming ability in Python or Go
- Familiarity with GPU infrastructure, including high performance networking with InfiniBand, RoCE, and RDMA, and the GPU software stack

Tags: Engineering