Infrastructure Engineer (Data Center Operations)

Cerebras Systems • Sunnyvale, CA

2d • Onsite

About The Position

Cerebras Systems is seeking a hands-on Infrastructure Engineer to support its high-performance, on-premise server and networking infrastructure. The role involves maintaining, provisioning, and troubleshooting hardware and Linux systems, with close collaboration with network and system teams. This is an in-person position for individuals who enjoy working across hardware, networking, and system layers.

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

Nice To Haves

• Experience with PXE, NFS, RAID controllers, and monitoring tools
• Familiarity with configuration management tools (e.g., Ansible)
• Prior experience in a lab or R&D hardware/software environment

Responsibilities

• Physically install, rack, cable, and maintain blade servers and hardware components (CPUs, DIMMs, NICs, storage devices, etc.)
• Connect servers to high-speed networks (100G/400G), verify optics/DACs, and check link status
• Configure BIOS, firmware, and out-of-band management (IPMI/iDRAC/iLO)
• Install and provision Linux OS; configure hostnames, IPs, routing, and NFS mount points
• Debug network issues at physical and OS level (VLAN, link issues, routing, etc.)
• Use Linux tools (e.g., ip, dmesg, netstat, ping) to isolate and fix issues
• Follow provisioning playbooks and maintain accurate records of assets and changes
• Use scripting (Bash, Python) to automate routine tasks and improve efficiency
• Collaborate with internal teams (network, systems, storage) and coordinate vendor RMAs
• Document procedures and contribute to team knowledge base
• Troubleshoot and replace failed server components with minimal downtime

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed