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Software Supply Chain Security Engineer

Cerebras · Sunnyvale, CA

CHECKED 6H AGO

Infrastructureremotesenior
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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
More about Cerebras →
Apply on the lab’s site ↗