Network Security Engineer (Remote)
Cerebras · Remote (US)
CHECKED 7H AGO
Infrastructureremotesenior
At a glance
Highlights
- Secure network infrastructure supporting the world's largest AI chip.
- Support secure networking across data centers, cloud, and AI systems.
- Enable ultra high-speed AI inference transforming real-time user experience.
Ideal candidate
Independent network security engineer with 7+ years securing distributed infrastructure who thrives remotely, communicates clearly across time zones, and is excited to secure large-scale AI compute.
Requirements
- 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 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 remotely and collaborate across time zones
- Ability to travel occasionally to offices or data centers
- remote policy
- Fully remote within the U.S.
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed