Principal Network Security Architect

About the role

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.

About The Role

We are seeking a Principal Network Security Architect to lead the design and evolution of the networks that connect Cerebras's data centers, offices, and cloud environments - the foundation that delivers the fastest AI inference on earth to customers like OpenAI and AWS.

You will set the architectural direction for high-performance, resilient enterprise and data center networking, and partner closely with Site Reliability, Security, and Infrastructure to operate at the scale and speed our compute demands.

The right candidate brings senior network design depth, a track record of building at hyperscale, and the judgment to balance performance, reliability, and security in a rapidly growing environment.

Responsibilities

• Define and own the architectural roadmap for Cerebras's enterprise, data center, and cloud network estate.
• Co-author secure design and lifecycle management of high-performance data center networking - including spine/leaf, RDMA, and high-bandwidth fabrics supporting wafer-scale compute.
• Build and maintain an AI-agent based analysis and review framework for network changes as well as self-improvement driven by observed network patterns and use cases.
• Partner with Network Security to deliver segmented, zero-trust-aligned network designs across data center and corporate environments.
• Set standards for resiliency, observability, and capacity planning across the global network
• Mentor engineers across regions (US, Canada, Bangalore, and beyond), and serve as the senior technical voice on cross-functional network initiatives.
• Stay ahead of emerging networking patterns relevant to AI infrastructure and translate them into actionable architecture decisions.

Skills and Qualifications

• 10+ years of experience in enterprise and/or data center network engineering, including hands-on design and operations at scale.
• Deep understanding in cloud networking and service mesh, with emphasis on K8s service mesh and virtual networks.
• Deep expertise in routing, switching, and data center fabrics - including BGP, EVPN/VXLAN, and high-bandwidth/low-latency designs.
• Hands-on experience with networking for high-performance compute or AI/ML workloads (RDMA, RoCE, InfiniBand exposure a plus).
• Strong proficiency with network automation - infrastructure as code (Ansible, Terraform), version-controlled configuration, and CI/CD for network change.
• Working knowledge of cloud networking (AWS preferred), including VPCs, transit gateways, Direct Connect, and hybrid connectivity patterns.
• Experience operating networks at multi-site, global scale - including capacity planning, incident response, and vendor management.
• Excellent written and verbal communication skills, with the ability to lead architecture conversations across technical and non-technical audiences.