Network Security Engineer - Cerebras Systems

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 Network Security Engineer to design, build, and operate the network security controls that keep Cerebras's data centers, cloud environments, and corporate infrastructure secure as we scale to support the world's most demanding AI workloads. You will own the lifecycle of our firewall, segmentation, and network detection capabilities — turning policy into automated, testable infrastructure — and partner closely with Network Engineering, IT, and Security Operations to keep the environment safe and operational. The right candidate brings hands-on network security depth, an automation-first mindset, and the ability to operate across enterprise, data center, and cloud network domains.

Responsibilities

• Design and operate firewall, segmentation, and zero-trust controls across data center, corporate, and cloud (AWS) networks.
• Build and maintain network security infrastructure as code — including firewall rules, policy automation, and CI/CD-driven deployment.
• Lead network lifecycle management: design review, configuration baselines, change automation, and ongoing rule hygiene.
• Build detection capabilities for network-based attacker behaviors and partner with the Detection & Response team on response playbooks.
• Implement and operate network access controls including ZTNA, VPN, and remote access patterns.
• Drive periodic firewall rule reviews, segmentation audits, and remediation campaigns to reduce risk and complexity.
• Document network security architecture, controls, and operating procedures in clear runbooks.

Skills and Qualifications

• Master's degree or higher in computer science.
• Deep expertise with industry leading firewalls, including policy design, automati