The opportunity
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.
What you'll do
Own and continuously improve vulnerability management across applications,: software dependencies, containers, operating systems, cloud infrastructure, and externally exposed services.
Use AI agents and advanced security models to augment vulnerability: discovery, code analysis, adversarial testing, prioritization, and remediation.
Analyze vulnerabilities beyond scanner severity by considering: exploitability, exposure, affected assets, available mitigations, and business impact.
Partner directly with engineering teams to triage findings, determine: appropriate remediation, and drive vulnerabilities to closure within risk-based SLAs.
Build automation for vulnerability ingestion, deduplication, enrichment,: prioritization, assignment, remediation tracking, and reporting.
Identify systemic vulnerability patterns and work with engineering teams to: address root causes rather than repeatedly fixing individual findings.
What they're looking for
- Application Security or Security engineering background.
- Securing AI/ML platforms, inference services, or large-scale compute infrastructure.
- Building or operating vulnerability management programs at scale.
- AWS, Kubernetes, Docker, and cloud-native environments.
- Software supply-chain security and dependency management.
- GitHub and CI/CD security.
- Threat modeling and secure design reviews.
- Penetration testing or offensive security.
