Infrastructure Engineer (Data Center Operations)

Cerebras 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 https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Role: We are looking for a hands-on Infrastructure Engineer to join our team and support our high-performance, on-premise server and networking infrastructure. You will be responsible for maintaining, provisioning, and troubleshooting hardware and Linux systems, working closely with network and system teams. This is an in-person role, ideal for someone who enjoys working across hardware, networking, and system layers. Key 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

Department: Software; Team: Software