Software Supply Chain Security Engineer
Cerebras · Sunnyvale, CA
CHECKED 6H AGO
Infrastructureremotesenior
At a glance
Highlights
- Harden every layer of the source-to-artifact pipeline for AI infrastructure.
- Define core security requirements for artifact pipelines end to end.
- Build threat models outlining trust across build and deploy layers.
Ideal candidate
Pragmatic security-minded engineer with deep SDLC breadth who thrives in fast-paced, fragmented environments and cares about shipping secure systems quickly while making security approachable for others.
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, experience with modernizing stacks is a plus
- Familiarity with AWS, Jenkins, SLSA, and best practices for secure artifact provenance and builds a plus
- Strong written communication skills, with the ability to make security concepts approachable for non-specialists
- Direct work with Agentic workflows and deep understanding of LLM and reasoning cycles
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