Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
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
More about this role
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
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...
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