{"id":190483,"url":"https://alion.io/job/cerebras-systems-application-security-engineer","title":"Application Security Engineer","company":{"id":31,"name":"Cerebras Systems","domain":"cerebras.ai","url":"https://alion.io/company/cerebras-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":76,"open_postings":25,"ghost_share":0,"stale_share":0.76,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Security","role_family":"Security","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":153000,"max_usd":348000,"period":"year","method":"role_country_seniority_unknown","sample_n":3177},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Cerebras","optional":false},{"name":"CI/CD","optional":false},{"name":"CVSS","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"Linux","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"Kubernetes","optional":true},{"name":"Threat Modeling","optional":true}],"status":"live","first_seen_at":"2026-09-02T12:21:41Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-18T20:45:03Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"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. \nThis 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.\nCerebras 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.\nWe are looking for an Application Security Engineer with a strong focus on Vulnerability Management to help secure Cerebras software, infrastructure, and AI platforms.\nYou 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.\nYou will work closely with Engineering, Infrastructure, and IT teams to identify vulnerabilities across our products and environments and drive them to meaningful remediation.\nResponsibilities\nOwn and continuously improve vulnerability management across applications, software dependencies, containers, operating systems, cloud infrastructure, and externally exposed services.\n\nUse AI agents and advanced security models to augment vulnerability discovery, code analysis, adversarial testing, prioritization, and remediation.\n\nAnalyze vulnerabilities beyond scanner severity by considering exploitability, exposure, affected assets, available mitigations, and business impact.\n\nPartner directly with engineering teams to triage findings, determine appropriate remediation, and drive vulnerabilities to closure within risk-based SLAs.\n\nBuild automation for vulnerability ingestion, deduplication, enrichment, prioritization, assignment, remediation tracking, and reporting.\n\nIdentify systemic vulnerability patterns and work with engineering teams to address root causes rather than repeatedly fixing individual findings.\n\nOperate and improve application security capabilities including SAST, SCA, secrets detection, container scanning, infrastructure scanning, and external attack-surface monitoring.\n\nValidate security findings through technical investigation and hands-on testing, distinguishing exploitable vulnerabilities from false positives and low-risk findings.\n\nPerform targeted application security reviews and testing for high-risk services and features.\n\nHelp integrate security controls into CI/CD and developer workflows while minimizing unnecessary friction for engineering teams.\n\nDevelop metrics and reporting that provide meaningful visibility into vulnerability exposure, remediation performance, recurring vulnerability classes, and security risk.\n\nEvaluate and integrate new security technologies as our software and infrastructure environments evolve.\n\nPartner with security and engineering teams on incident response when vulnerabilities are actively exploited or require urgent remediation.\n\nSkills & Qualifications\nWe are looking for candidates who:\nHave strong application security or product security fundamentals and hands-on experience with vulnerability management.\n\nUnderstand common vulnerability classes and exploitation techniques across web applications, APIs, authentication systems, cloud services, containers, and software supply chains.\n\nCan read and reason about code and work effectively with software engineers on practical remediation.\n\nHave experience with vulnerability scanning and application security technologies such as SAST, SCA, DAST, secrets scanning, container scanning, or CSPM.\n\nUnderstand vulnerability prioritization concepts including CVSS, exploitability, asset criticality, internet exposure, compensating controls, and threat intelligence.\n\nAre comfortable investigating security findings manually rather than relying exclusively on scanner output.\n\nCan automate security workflows using languages such as Python, Go, or similar scripting/programming languages.\n\nHave experience integrating security tooling into CI/CD and modern software development workflows.\n\nAre comfortable working with Linux, Git, containers, and cloud environments.\n\nCan communicate security risk clearly to both security specialists and engineering teams.\n\nApproach security with an automation-first mindset and look for scalable solutions instead of manual processes.\n\nPreferred Qualifications\nExperience in one or more of the following areas is a plus:\nApplication Security or Security engineering background.\n\nSecuring AI/ML platforms, inference services, or large-scale compute infrastructure.\n\nBuilding or operating vulnerability management programs at scale.\n\nAWS, Kubernetes, Docker, and cloud-native environments.\n\nSoftware supply-chain security and dependency management.\n\nGitHub and CI/CD security.\n\nThreat modeling and secure design reviews.\n\nPenetration testing or offensive security.\n\nExternal attack-surface management.\n\nVulnerability research or exploit validation.\n\nSecurity data pipelines, APIs, and workflow automation.\n\nUsing LLMs, AI agents, or AI-assisted security tooling for vulnerability research, code analysis, penetration testing, or remediation.\n\nWhat Success Looks Like\nYou will help Cerebras move beyond simply finding vulnerabilities toward an engineering-driven vulnerability management program where:\nThe vulnerabilities that create the most meaningful risk are identified and prioritized quickly.\n\nEngineering teams receive actionable findings with clear remediation guidance.\n\nHigh-risk vulnerabilities are consistently remediated within defined SLAs.\n\nSecurity findings are increasingly validated, prioritized, and routed automatically.\n\nRecurring vulnerability classes are addressed systematically.\n\nAI and automation reduce manual security work and accelerate both vulnerability discovery and remediation.\n\nMost 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.ADD DESCRIPTION HERE\nWhy Join Cerebras\nPeople 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:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\n\nPublish and open source their cutting-edge AI research.\n\nWork on one of the fastest AI supercomputers in the world.\n\nEnjoy job stability with startup vitality.\n\nOur simple, non-corporate work culture that respects individual beliefs.\n\nFind out more about what it's like to work at Cerebras here!\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.\nThis website or its third-party tools process personal data. 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