Cerebras Systems
Application Security Engineer
Sunnyvale, CA
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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
- Own and continuously improve vulnerability management across applications, software dependencies, containers, operating systems, cloud infrastructure, and externally exposed services.
- 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.
- Validate security findings through technical investigation and hands-on testing, distinguishing exploitable vulnerabilities from false positives and low-risk findings.
- Perform targeted application security reviews and testing for high-risk services and features.
- Develop metrics and reporting that provide meaningful visibility into vulnerability exposure, remediation performance, recurring vulnerability classes, and security risk.
- Partner with security and engineering teams on incident response when vulnerabilities are actively exploited or require urgent remediation.
Requirements
- Have strong application security or product security fundamentals and hands-on experience with vulnerability management.
- Have experience with vulnerability scanning and application security technologies such as SAST, SCA, DAST, secrets scanning, container scanning, or CSPM.
- Have experience integrating security tooling into CI/CD and modern software development workflows.
- Understand common vulnerability classes and exploitation techniques across web applications, APIs, authentication systems, cloud services, containers, and software supply chains.
- Can read and reason about code and work effectively with software engineers on practical remediation.
- Understand vulnerability prioritization concepts including CVSS, exploitability, asset criticality, internet exposure, compensating controls, and threat intelligence.
- Are comfortable investigating security findings manually rather than relying exclusively on scanner output.
- Can automate security workflows using languages such as Python, Go, or similar scripting/programming languages.
- Are comfortable working with Linux, Git, containers, and cloud environments.
- Can communicate security risk clearly to both security specialists and engineering teams.
- Approach security with an automation-first mindset and look for scalable solutions instead of manual processes.
Nice to have
- Experience in one or more of the following areas is a plus:
- Application Security or Security engineering background.
- Securing AI/ML platforms, inference services, or large-scale compute infrastructure.
- AWS, Kubernetes, Docker, and cloud-native environments.
- Software supply-chain security and dependency management.
- GitHub and CI/CD security.
- Penetration testing or offensive security.
- External attack-surface management.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- 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.
- We are looking for candidates who:
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.