Infrastructure Systems Engineer – Linux, Storage & Automation
Cerebras · Sunnyvale, CA
Infrastructureremote
At a glance
Highlights
- Support infrastructure powering the world's largest AI chip platform.
- Automate provisioning and reliability for petascale AI compute and storage.
- Work on one of the fastest AI supercomputers in the world.
Ideal candidate
Hands-on Linux infrastructure engineer who loves digging into complex problems and automating away manual work. You own issues through resolution and care about reliable, scalable systems.
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 including NFS, SMB, iSCSI, S3
- Familiarity with Linux storage management including RAID, LVM, filesystems and mounts
- Working knowledge of TCP/IP, DNS, DHCP, routing, VLANs and network troubleshooting
- Experience using Git for version control and collaborative development
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed
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