Network Security Engineer

• Operate firewalls, ACLs, segmentation, and network security controls across data center, corporate, and AWS environments.
• Remotely support data center network deployment, configuration, troubleshooting, maintenance, and lifecycle management in partnership with on-site teams.
• Implement and maintain segmentation, firewall, and ACL policies across corporate, compute, customer, and infrastructure environments.
• Manage inbound and outbound network controls, including public exposure, NAT, load balancers, DNS filtering, proxies, and egress policies.
• Implement and operate VPN, ZTNA, NAC, Wi-Fi, and vendor or partner connectivity.
• Perform recurring firewall rule reviews, segmentation audits, and remediation of unnecessary network exposure.
• Automate network and security workflows using Terraform, Ansible, GitOps, Python, and policy as code.
• Support network telemetry, detection, investigation, and containment in partnership with Security Operations.
• Troubleshoot routing, switching, TCP/IP, DNS, TLS, and cloud networking issues.
• Maintain network architecture documentation, procedures, and runbooks.
• Coordinate remote changes and incident response across distributed infrastructure and engineering teams.

• 7+ years of experience in network security, network engineering, cloud security, or infrastructure security.
• Strong hands-on experience with firewalls, ACLs, segmentation, routing, switching, VPNs, and network troubleshooting.
• Experience supporting data center and on-premises network infrastructure, including working effectively with remote hands.
• Experience with AWS networking, including VPCs, transit gateways, security groups, and load balancers.
• Experience with Palo Alto, Juniper, Cloudflare, or similar platforms.
• Proficiency with Terraform, Ansible, Python, GitOps, or similar automation tools.
• Strong understanding of ZTNA, NAC, egress controls, TCP/IP, DNS, and TLS.
• Strong written communication and documentation skills.
• Ability to operate independently in a remote environment and collaborate across time zones.
• Ability to travel occasionally to Cerebras offices or data centers as business needs require.

Relevant Experience

Experience in several of the following is valuable:

• AI, HPC, or large-scale compute environments.
• Data center networking and security.
• AWS network security and segmentation.
• ZTNA and VPN architectures.
• DNS filtering, SWG, proxy, or SASE platforms.
• Vendor and partner connectivity.
• Public exposure and attack surface remediation.
• Network detection and incident response.
• Remote operation of geographically distributed network infrastructure.

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.

Cerebras is seeking a Network Security Engineer to build, operate, and secure the network infrastructure supporting our data centers, cloud environments, corporate network, and AI systems.

This is a remote, U.S.-based individual contributor role working across network security and network operations. You will support firewalls, segmentation, routing and switching, network access, and automation while collaborating with on-site data center and infrastructure teams. Occasional travel to Cerebras offices or data centers may be required., 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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. 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.