C

Cerebras

AI accelerator hardware replacing GPUs

Network Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, 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 operating data center and on-premises network infrastructure.
  • Experience with Amazon Web Services 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, Transmission Control Protocol/Internet Protocol, Domain Name System, and Transport Layer Security.
  • Strong written communication and documentation skills.
  • Ability to work regularly on-site in Sunnyvale, California and perform hands-on work in data center environments.

Responsibilities

  • Operate firewalls, access control lists, segmentation, and network security controls across data center, corporate, and Amazon Web Services environments.
  • Support hands-on data center network operations, including deployment, configuration, troubleshooting, maintenance, and lifecycle management.
  • 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, Domain Name System 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, Transmission Control Protocol/Internet Protocol, Domain Name System, Transport Layer Security, and cloud networking issues.
  • Maintain network architecture documentation, procedures, and runbooks.

Desired Qualifications

  • Experience in artificial intelligence, high-performance computing, or large-scale compute environments.
  • Experience with data center networking and security.
  • Experience with Amazon Web Services network security and segmentation.
  • Experience with zero trust network access and virtual private network architectures.
  • Experience with Domain Name System 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.

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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