Data Center Provisioning Engineer

Cerebras Systems•Sunnyvale, CA

4d•Remote

About The Position

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 with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. The Data Center Provisioning Engineer will be responsible for provisioning, commissioning, and validating network infrastructure, servers, and related systems across large-scale data center deployments. This role works closely with engineering teams, data center technicians, vendors, and operations teams to bring new sites and infrastructure online quickly and reliably. The ideal candidate combines strong networking and systems expertise with automation, troubleshooting, and a focus on building repeatable processes that scale across multiple parallel deployments.

Requirements

Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field.
At least 5 years of relevant experience in network device and server provisioning, data center infrastructure, Site Reliability Engineering (SRE), or a related field.
Strong hands-on experience with server and network device provisioning and troubleshooting, including diagnosing issues across compute, networking, operating systems, configuration, and automation layers.
Proficiency in Python and shell scripting, with experience using automation to streamline infrastructure deployment.
Hands-on experience with at least one major cloud platform—AWS, GCP, or Azure—and with Kubernetes, including deployment, scaling, troubleshooting, and cluster management.
Experience with Infrastructure as Code (IaC) and configuration management technologies, particularly Terraform and Ansible.
Strong knowledge of fundamentals and technologies, including PXE, DNS, DHCP, TCP/IP, load balancing, VPCs, firewalls, VLANs, LACP, BGP, and OSPF.
Experience upgrading server firmware, switch software OS, and PDU firmware
Strong problem-solving, communication, collaboration, and documentation skills, with the ability to work effectively across engineering, operations, field, and vendor teams in fast-paced data center deployment environments.

Responsibilities

Provision and configure network devices, firewalls, and servers in data centers by following documented processes and using purpose-built provisioning frameworks and automation tools.
Troubleshoot and resolve server, network, configuration, automation, and connectivity issues encountered during infrastructure provisioning and service bring-up.
Collaborate with engineering teams, data center technicians, cabling vendors, and rack integrators to coordinate infrastructure deployment and ensure timely site readiness.
Support network, power, and mechanical commissioning, including testing and validation of network connectivity, device configurations, server readiness, and infrastructure dependencies.
Develop and continuously improve provisioning processes, tooling, and automation to enable reliable, repeatable, and scalable deployment across multiple sites in parallel.
Perform post-deployment validation and support integration with monitoring, alerting, and operational tooling to ensure infrastructure meets production-readiness requirements.
Coordinate the successful handoff of deployed infrastructure to Operations & Maintenance (O&M) teams - Cluster Operations, Network Operations, Site Operations.
Document deployment procedures, troubleshooting findings, lessons learned, and process improvements to increase deployment efficiency and reliability.