Infrastructure Engineer (Data Center Operations)
Cerebras · Sunnyvale, CA
CHECKED 7H AGO
Infrastructureremotemid-level
At a glance
Highlights
- Support infrastructure behind the world's largest AI chip, 56x larger than GPUs.
- Help power 10x faster inference transforming real-time AI applications.
- Build breakthrough AI platform beyond GPU constraints at massive scale.
Ideal candidate
Hands-on infrastructure enthusiast with data center experience who loves bridging hardware and software. Thrives working on-site, digging across layers to troubleshoot, and keeping cutting-edge systems running reliably.
Requirements
- 3-5+ years of experience in data center, lab, or infrastructure engineering roles
- Proficient in Linux system administration and network configuration
- Strong hands-on knowledge of x86 server hardware and enterprise networking
- Familiar with BIOS configuration, firmware updates, and remote management tools
- Skilled in physical setup and troubleshooting of high-speed NICs and optical links
- Experience with VLANs, static routing, and diagnosing layer 1-3 issues
- Ability to write scripts for automation and diagnostics (Bash, Python preferred)
- Comfortable working on-site daily and lifting/moving server hardware
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