Cerebras Systems

Cerebras Systems

Application Security Engineer

Sunnyvale, CA

Sponsorship not specifiedDetected 3 days ago
PythonGoGitAWSCloud PlatformsDockerKubernetesCI/CDLinuxMachine LearningData EngineeringLLMsAgentic AICybersecurityPenetration TestingIncident ResponseComplianceResearch

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

22 transfer filings in the last year, covering 22 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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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.