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 artifact build pipelines including maturing SLSA processes.
Partner with platform, infrastructure, networking, and hardware teams to identify supply chain gaps.
Develop threat models for each layer of the build and deploy stack.
Work with engineering leads and devops architects to build in secure supply chain principles.
Balance engineering outcomes with security controls.
Document security posture and strategy for technical and nontechnical audiences.
Requirements
8-10 years of experience with software supply chain and SDLC topics including secure code management, build pipeline hardening, artifact signing and attestation.
Masters in Computer Science or PhD (preferred).
Strong hands-on engineering abilities in devops and SDLC contexts.
Ability to work in fragmented and legacy build environments.
Familiarity with AWS, Jenkins, SLSA, and best practices for secure artifact provenance and builds a plus.
Strong written communication skills.
Direct work with Agentic workflows and deep understanding of LLM and reasoning cycles.