Senior WAN Network Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top 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. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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. About The Role We are seeking a highly skilled WAN Network Engineer to design, implement, manage, and optimize global connectivity. The ideal candidate will have strong experience with carrier networks, routing protocols, and network security, and will play a critical role in ensuring high availability, performance, and reliability of global network services. Responsibilities Design, deploy, and maintain WAN network across leased lines and dark fiber for low latency and 99.999% availability. Collaborate with telecom providers and ISPs for circuit provisioning, upgrades, and issue resolution. Configure, troubleshoot, and optimize security and routing protocols (IPSec Tunnels, MACsec, BGP, VXLAN, EVPN). Monitor WAN performance, latency, packet loss, capacity utilization. Analyze traffic patterns to predict growth and trigger circuit upgrades or hardware refreshes before bottlenecks occur. Implement redundancy, failover, QoS, and traffic engineering to ensure business continuity. Participate in network modernization and cloud connectivity projects (AWS, Azure, GCP). Provide Tier 3 support for WAN-related incidents and root cause analysis. Develop and maintain network documentation, diagrams, and standard operating procedures. Use Python, Ansible, or Terraform to deploy configurations and manage network state at scale. Support network security initiatives including site-to-site VPNs and perimeter connectivity. Ensure compliance with security, governance, and operational best practices. Requirements Bachelor’s degree in Computer Science, Electrical Engineering, or Computer Engineering. Master’s degree is preferred. 6+ years of experience in WAN network engineering, or Service Provider network, o r Hyper-scale Data Center environment. Industry certifications such as, CCIE or JNCIE. Strong knowledge of BGP routing protocols and WAN technologies. Experience with major network vendors such as Arista, Cisco, Juniper, or Palo Alto. Strong troubleshooting and analytical skills, and excellent communication and documentation skills. Experience with cloud networking and hybrid network architectures. Expertise with network automation tools (Python, Ansible, Terraform). Knowledge of network monitoring tools (SolarWinds, Kentik, ThousandEyes, or similar). Ability to participate in on-call rotation and after-hours maintenance. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 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