Network Security Engineer
Quick Summary
design review, configuration baselines, change automation, and ongoing rule hygiene.
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
~1 min read- 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.
Requirements
~1 min read- 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.
What We Offer
~1 min readPeople 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:
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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Location & Eligibility
Listing Details
- Posted
- June 23, 2026
- First seen
- June 23, 2026
- Last seen
- June 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- June 23, 2026
Signal breakdown
Cerebras Systems is revolutionizing AI acceleration with its innovative hardware solutions designed to enhance deep learning capabilities.
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