C

Cerebras

AI accelerator hardware replacing GPUs

Network Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 7 years of experience in network security, network engineering, cloud security, or infrastructure security.
  • Strong hands-on experience with firewalls, access control lists, segmentation, routing, switching, virtual private networks, and network troubleshooting.
  • Experience supporting data center and on-premises network infrastructure, including working effectively with remote hands.
  • Experience with AWS networking, including virtual private clouds, 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 zero trust network access, network access control, 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.

Responsibilities

  • Operate firewalls, access control lists, 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 access control list policies across corporate, compute, customer, and infrastructure environments.
  • Manage inbound and outbound network controls, including public exposure, network address translation, load balancers, DNS filtering, proxies, and egress policies.
  • Implement and operate virtual private networks, zero trust network access, network access control, 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.

Desired Qualifications

  • Experience in AI, high-performance computing, or large-scale compute environments.
  • Experience with data center networking and security.
  • Experience with AWS network security and segmentation.
  • Experience with zero trust network access and virtual private network architectures.
  • Experience with DNS filtering, secure web gateway, proxy, or secure access service edge platforms.
  • Experience with vendor and partner connectivity.
  • Experience with public exposure and attack surface remediation.
  • Experience with network detection and incident response.
  • Experience with remote operation of geographically distributed network infrastructure.

About the Company

Cerebras

AI accelerator hardware replacing GPUs

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company size
501-1,000
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2016

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