Distributed Systems Security Engineer

About the company

• Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs, delivering industry-leading training and inference speeds.
• Cerebras works with leading model labs, global enterprises, and AI-native startups.

Responsibilities

• Define core security requirements for distributed systems environments, from secure boot configurations to workload identity in k8s pods.
• Partner with platform, infrastructure, networking, and hardware teams to identify gaps and deliver end-to-end solutions.
• Develop threat models for each part of the cluster stack, outlining trust boundaries.
• Work with engineering leads and architects to bake secure design in from the beginning.
• Balance engineering outcomes with security controls.
• Document security posture and strategy for technical and nontechnical audiences.

Requirements

• 8-10 years of experience with heterogenous compute environments, kubernetes hardening, and general networked system security.
• 10+ years with HPCs (high performance clusters).
• Strong hands-on engineering abilities in on-prem and cloud environments.
• Ability to work in fragmented ecosystems, hardening both modern k8s deployments and bare metal instances.
• Familiarity with AWS, Kubernetes, and distributed compute systems a plus.
• Strong written communication skills.

Conditions

• Location: Sunnyvale, CA.