Application Security Engineer

Cerebras

Sunnyvale (CA)

On-site

USD 170,000 - 210,000

Full time

3 days ago

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Job summary

Cerebras Systems is seeking an Application Security Engineer with a strong focus on Vulnerability Management in Sunnyvale, CA. You will own the vulnerability program, collaborate with engineering, and build automated workflows to reduce risk across applications, containers, and cloud environments.

The role emphasizes prioritization beyond scanners, risk-based SLAs, and scalable security practices. You will work with AI-assisted discovery, triage findings, and drive remediation through modern

Qualifications

Strong application security fundamentals with hands-on vulnerability management experience.
Understanding vulnerability classes and exploitation techniques in web apps, APIs, cloud services, containers, and supply chains.
Ability read and reason about code and work with engineers on remediation.
Experience with vulnerability scanning technologies (SAST, SCA, DAST, secrets scanning, container scanning, CSPM).
Understanding CVSS, exploitability, asset criticality, and threat intelligence for prioritization.
Able to automate security workflows using Python, Go or similar languages.
Experience integrating security tooling into CI/CD and modern dev workflows.
Comfortable with Linux, Git, containers, and cloud environments.
Excellent communication of risk to both security and engineering teams.
Automation-first mindset and scalable security solutions.

Responsibilities

Own and improve vulnerability management across apps, infra, and services.
Use AI agents and advanced security models to augment discovery, analysis, and remediation.
Prioritize vulnerabilities by exploitability, exposure, and business impact.
Triage findings with engineering and drive remediation within SLAs.
Build automation for ingestion, deduplication, enrichment, and reporting.
Identify systemic vulnerabilities and address root causes.
Operate and improve SAST, SCA, secrets, container, and cloud scanning capabilities.
Validate findings through hands-on testing and remove false positives.
Conduct targeted security reviews for high-risk services and features.
Integrate security controls into CI/CD and developer workflows.
Develop metrics to show exposure and remediation performance.
Evaluate and adopt new security technologies as ecosystems evolve.
Collaborate with teams on incident response when needed.

Skills

App security

Vulnerability management

Code reasoning with engineers

CI/CD security

Automation (Python/Go)

Security tooling integration

Clear security communication

Automation-first mindset

Tools

SAST

SCA

DAST

Secrets scanning

Container scanning

CSPM

AWS

Kubernetes

Docker

Job description

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.

We are looking for an Application Security Engineer with a strong focus on Vulnerability Management to help secure Cerebras software, infrastructure, and AI platforms.

You will own and evolve key parts of our vulnerability management program from vulnerability discovery and risk prioritization through remediation and verification. This is not a ticket-management role. We are looking for an engineer who can understand vulnerabilities in context, work directly with engineering teams, automate repetitive security work, and help eliminate classes of vulnerabilities rather than simply track individual findings.

You will work closely with Engineering, Infrastructure, and IT teams to identify vulnerabilities across our products and environments and drive them to meaningful remediation.

Responsibilities

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.
Operate and improve application security capabilities including SAST, SCA, secrets detection, container scanning, infrastructure scanning, and external attack-surface monitoring.
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.
Help integrate security controls into CI/CD and developer workflows while minimizing unnecessary friction for engineering teams.
Develop metrics and reporting that provide meaningful visibility into vulnerability exposure, remediation performance, recurring vulnerability classes, and security risk.
Evaluate and integrate new security technologies as our software and infrastructure environments evolve.
Partner with security and engineering teams on incident response when vulnerabilities are actively exploited or require urgent remediation.

Skills & Qualifications

We are looking for candidates who:

Have strong application security or product security fundamentals and hands‑on experience with vulnerability management.
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.
Have experience with vulnerability scanning and application security technologies such as SAST, SCA, DAST, secrets scanning, container scanning, or CSPM.
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.
Have experience integrating security tooling into CI/CD and modern software development workflows.
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.

Preferred Qualifications

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.
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.
External attack‑surface management.
Vulnerability research or exploit validation.
Security data pipelines, APIs, and workflow automation.
Using LLMs, AI agents, or AI‑assisted security tooling for vulnerability research, code analysis, penetration testing, or remediation.

What Success Looks Like

You will help Cerebras move beyond simply finding vulnerabilities toward an engineering‑driven vulnerability management program where:

The vulnerabilities that create the most meaningful risk are identified and prioritized quickly.
Engineering teams receive actionable findings with clear remediation guidance.
High‑risk vulnerabilities are consistently remediated within defined SLAs.
Security findings are increasingly validated, prioritized, and routed automatically.
Recurring vulnerability classes are addressed systematically.
AI and automation reduce manual security work and accelerate both vulnerability discovery and remediation.

Most importantly, you will help build security processes that scale with the speed at which Cerebras builds and deploys some of the most advanced AI systems in the world.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: