Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
About the role
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
What they're looking for
- 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
- 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 are a plus
- Strong written communication skills, with the ability to make security concepts approachable for non-specialists
More about this role
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.
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.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Cerebras is seeking a Software Supply Chain Security Engineer to help build a secure foundation for our build and development workflows.
In this role you will be responsible for assessing and hardening every layer of our source to artifact pipeline, from how we store and manage code to what we deploy into our clusters.
The ideal candidate brings a combination of wide breadth of knowledge on a variety of software supply chain topics throughout the whole SDLC process, a pragmatic and...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs