The posting, in Cerebras's own words
archived Oct 20, 2026Cerebras 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.
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.
Read the full posting ↓
Responsibilities
Deploy, configure, and maintain Linux servers across physical and virtual environments. Deploy and support data storage systems, including block, file, and object storage. Configure and troubleshoot storage connectivity, volumes, filesystems, permissions, and access from Linux hosts and virtual machines. Monitor storage capacity, performance, and availability; investigate latency, throughput, and connectivity issues. Develop Python and Bash scripts to automate provisioning, configuration, validation, and routine operational tasks. Build and maintain Ansible playbooks and roles for consistent, repeatable infrastructure deployments. Troubleshoot issues across operating systems, applications, networking, storage, and virtualization platforms. Investigate logs, analyze system behavior, and resolve performance, availability, and configuration problems. Manage virtual machines and troubleshoot hypervisor, virtual networking, and storage integration issues. Support server provisioning, operating system installation, patching, upgrades, and configuration management. Support data protection and recovery through snapshots, replication, backups, and restore validation. Implement monitoring, health checks, and alerts to identify problems early. Collaborate with engineering, networking, storage vendors, and data center operations teams to deploy and support infrastructure. Document configurations, troubleshooting procedures, and operational runbooks.