The opportunity
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.
What you'll do
Define core security requirements for distributed systems environments,: covering everything 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 improving the overall security maturity of the environment
Develop threat models for each part of the cluster stack, outlining trust: boundaries and the interplay between first and third-party mechanisms
Work with engineering leads and architects to bake secure design in from the beginning
Balance engineering outcomes with security controls, enabling the company to deliver securely quickly
Document security posture and strategy for technical and nontechnical: audiences from both 1p and 3p perspectives
