# Infrastructure Systems Engineer – Linux, Storage & Automation at Cerebras Systems

- Company: Cerebras Systems
- What the company does: Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
- Company website: https://www.cerebras.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: Sunnyvale, CA
- Work setup: Remote
- Posted: 2026-10-19
- Apply by: 2026-12-03
- Apply: https://jobs.ashbyhq.com/cerebras/dbb21f89-1e93-4142-99da-8fe7c5d62e8b?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/cerebras-systems-infrastructure-systems-engineer-linux-storage-and-automation/

## About the role

We are looking for a hands-on engineer to deploy, automate, troubleshoot, and maintain Linux-based compute and data storage infrastructure. The ideal candidate combines strong Linux fundamentals with Python, Ansible, shell scripting, virtualization, and storage experience. They enjoy investigating complex problems, identifying root causes, and building automation that improves reliability and reduces manual work. Deploy, configure, and maintain Linux servers across physical and virtual environments. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Strong hands-on experience administering and troubleshooting Linux systems
- Proficiency in Python and shell scripting, particularly Bash
- Practical experience with Ansible for automation and configuration management
- Experience with virtualization platforms such as KVM, VMware, or Proxmox
- Hands-on experience administering enterprise or distributed storage systems
- Working knowledge of block, file, and object storage concepts, with practical experience in protocols such as NFS, SMB, iSCSI, or S3

Tags: Datacenters

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/cerebras-systems-infrastructure-systems-engineer-linux-storage-and-automation/