Application Security Engineer
Cerebras SystemsResponsibilities
- Own and continuously improve vulnerability management across applications, dependencies, containers, operating systems, cloud infrastructure, and externally exposed services.
- Use AI agents and advanced security models to support vulnerability discovery, code analysis, adversarial testing, prioritization, and remediation.
- Analyze vulnerabilities using exploitability, exposure, affected assets, mitigations, business impact, and threat intelligence rather than scanner severity alone.
- Partner with engineering teams to triage findings, determine remediation, and drive closure within risk-based SLAs.
- Build automation for vulnerability ingestion, deduplication, enrichment, prioritization, assignment, remediation tracking, and reporting.
- Identify systemic vulnerability patterns and address root causes with engineering teams.
- Operate and improve SAST, SCA, secrets detection, container scanning, infrastructure scanning, and external attack-surface monitoring capabilities.
- Validate findings through technical investigation and hands-on testing, including distinguishing exploitable vulnerabilities from false positives and low-risk findings.
- Perform targeted application security reviews and testing for high-risk services and features.
- Integrate security controls into CI/CD and developer workflows while minimizing unnecessary friction.
- Develop metrics and reporting for vulnerability exposure, remediation performance, recurring vulnerability classes, and security risk.
- Evaluate and integrate new security technologies as the software and infrastructure environments evolve.
- Partner with security and engineering teams on incident response involving actively exploited vulnerabilities or urgent remediation.
Requirements
- Strong application security or product security fundamentals with hands-on vulnerability management experience.
- Understanding of vulnerability classes and exploitation techniques across web applications, APIs, authentication systems, cloud services, containers, and software supply chains.
- Ability to read and reason about code and work effectively with software engineers on remediation.
- Experience with vulnerability scanning and application security technologies such as SAST, SCA, DAST, secrets scanning, container scanning, or CSPM.
- Understanding of CVSS, exploitability, asset criticality, internet exposure, compensating controls, and threat intelligence.
- Ability to manually investigate security findings rather than relying exclusively on scanner output.
- Ability to automate security workflows using Python, Go, or similar programming languages.
- Experience integrating security tooling into CI/CD and modern software development workflows.
- Comfort working with Linux, Git, containers, and cloud environments.
- Ability to communicate security risk clearly to security specialists and engineering teams.
- Automation-first mindset focused on scalable solutions.
- Preferred experience securing AI/ML platforms, inference services, or large-scale compute infrastructure.
- Preferred experience building or operating vulnerability management programs at scale.
- Preferred experience with AWS, Kubernetes, Docker, and cloud-native environments.
- Preferred experience with software supply-chain security, dependency management, GitHub, CI/CD security, threat modeling, secure design reviews, penetration testing, offensive security, external attack-surface management, vulnerability research, exploit validation, security data pipelines, APIs, workflow automation, LLMs, AI agents, or AI-assisted security tooling.
Benefits
- Opportunity to build security for a breakthrough AI platform and one of the world's fastest AI supercomputers.
- Opportunities to publish and open source cutting-edge AI research.
- Job stability with startup vitality and a simple, non-corporate work culture.
- Inclusive environment with continuous learning, growth, and support.
About Cerebras Systems
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: www.cerebras.ai Join us: https://cerebras.net/careers/