Cerebras Systems
Infrastructure Systems Engineer – Linux, Storage & Automation
Sunnyvale, CA
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About the role
- The ideal candidate combines strong Linux fundamentals with Python, Ansible, shell scripting, virtualization, and storage experience.
Responsibilities
- Deploy, configure, and maintain Linux servers across physical and virtual environments.
- Deploy and support data storage systems, including block, file, and object storage.
- 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.
- 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.
- Collaborate with engineering, networking, storage vendors, and data center operations teams to deploy and support infrastructure.
Requirements
- 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.
- Familiarity with Linux storage management, including disk configuration, RAID, LVM, filesystems, and mount management.
- Ability to troubleshoot storage performance using metrics such as IOPS, throughput, and latency.
- Working knowledge of TCP/IP, DNS, DHCP, routing, VLANs, and network troubleshooting.
- Familiarity with Linux services, permissions, processes, package management, and system logs.
- Strong debugging skills and a methodical approach to root cause analysis.
- Ability to own technical problems through resolution and communicate findings clearly.
Nice to have
- Experience with storage platforms such as VAST Data, NetApp, Dell PowerScale, Pure Storage, or Ceph.
- Familiarity with high-performance storage networking, including RDMA, RoCE, or InfiniBand.
- Experience with bare-metal provisioning, PXE boot, Kickstart, or cloud-init.
- Familiarity with server management interfaces such as BMC, IPMI, or Redfish.
- Experience with Docker, Kubernetes, or other container technologies.
- Familiarity with infrastructure monitoring and centralized logging tools.
- Experience supporting data center, AI/ML, or high-performance computing environments.
- Experience planning storage capacity, expanding storage systems, and supporting data migrations.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Benefits
- Implement monitoring, health checks, and alerts to identify problems early.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.