Cerebras Systems
Software Supply Chain Security Engineer
Sunnyvale, CA · Senior
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About the role
- This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
- OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Responsibilities
- Define core security requirements for artifact build pipelines including maturing SLSA processes, and see them through from ideation to implementation
- Partner with platform, infrastructure, networking, and hardware teams to identify supply chain gaps and deliver end-to-end solutions for ensuring confidence in CI/CD artifacts
- Develop threat models for each layer of the build and deploy stack, outlining trust boundaries and the interplay between first and third-party mechanisms
- Work with engineering leads and devops architects to build in secure supply chain principles 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
- People who are serious about software make their own hardware.
- Build a breakthrough AI platform beyond the constraints of the GPU.
- We believe inclusive teams build better products and companies.
Requirements
- 8-10 years of experience with software supply chain and SDLC topics including secure code management, build pipeline hardening, artifact signing and attestation, and the end-to-end integration thereof.
- Strong written communication skills, with the ability to make security concepts approachable for non-specialists.
- Strong hands-on engineering abilities in devops and SDLC contexts
- Familiarity with AWS, Jenkins, SLSA, and best practices for secure artifact provenance and builds are a plus
- Direct work with Agentic workflows and deep understanding of LLM and reasoning cycles.
Nice to have
- Masters in Computer Science or PhD (preferred)
- Ability to work in fragmented and legacy build environments, experience with modernizing stacks is a plus
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Benefits
- We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
Company info
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
- At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry.
- Apply today and become part of the forefront of groundbreaking advancements in AI!
Equal opportunity
- Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.