Network Security Engineer

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.

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, automation, and operations.

• Strong proficiency with infrastructure as code (Terraform, Ansible) and at least one scripting language (Python preferred).

• Hands-on experience operating network controls in a major cloud environment (AWS preferred), including VPCs, transit gateways, security groups, and cloud-native firewalls.

• Practical understanding of ZTNA, segmentation, and modern network access patterns.

• Solid fundamentals in TCP/IP, routing, switching, DNS, and TLS - with the ability to troubleshoot across the stack.

• Excellent written communication skills, with the ability to create clear documentation for both engineers and operators.

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 fastest AI supercomputers in the world.

• Enjoy job stability with startup vitality.

• Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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