安全工程师，进攻性安全
Security Engineer, Offensive Security
关于Anthropic
Anthropic的使命是创造可靠、可解释且可引导的AI系统。我们希望AI对我们的用户以及整个社会都是安全且有益的。我们的团队是由迅速增长的致力于研究、工程、政策专家和商业领袖组成的群体，共同致力于构建有益的AI系统。
关于团队
安全工程团队的使命是保护我们的AI系统并维护用户的信任以及整个社会的信任。无论我们是在开发关键的安全基础设施，建立安全的开发实践，还是与我们的研究和产品团队合作，我们都致力于作为一个世界级的安全组织运作，并将用户的安全和信任放在我们所做的一切的首位。
你将负责：
- 进行红队和紫队演练，在我们的云基础设施、终端和裸金属部署中模拟高级威胁行为者。
- 对特定的高价值部署进行渗透测试。
- 为AI辅助的安全测试工具和工作流程做出贡献。
- 与其他安全和工程团队跨职能合作，特别是在AI特定的攻击场景方面。
- 记录并向技术及高管受众展示发现，将攻击叙述转化为可操作的风险洞察，以指导安全路线图。
你具备：
- 在红队和进攻性安全运营方面有5年以上实际经验
- 在以下至少两个领域有深入的专业知识：macOS安全、Linux安全、云安全（GCP/AWS/Azure）、Kubernetes、CI/CD流水线
- 有发现新型攻击路径并创造性地利用漏洞的记录
- 有在防御严密的环境中进行对抗性模拟的经验
- 强大的工程技能（Python、Go或类似语言）
- 能够撰写清晰的发现报告，推动行动，帮助团队理解风险并优先修复问题
- 协作型工作方式，与蓝队紧密合作
优秀的候选人可能还具备：
- 在具有国家行为者威胁模型的组织中工作的经验
- 对AI安全的兴趣以及安全工程如何促进负责任的AI发展
- 测试AI/ML系统或代理工作流的背景
- 熟悉从防御角度出发的检测工程和SIEM/EDR平台
- 数据中心安全或基于硬件的攻击经验
申请截止日期：无。申请将按滚动方式接收。
查看英文原文
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
What You’ll Do:
- Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.
- Penetration test specific, high value deployments.
- Contribute to AI-assisted security testing tooling and workflows.
- Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.
- Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.
Who You Are:
- 5+ years of hands-on experience in red teaming and offensive security operations
- Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines
- Track record of discovering novel attack vectors and chaining vulnerabilities creatively
- Experience conducting adversarial simulations against well-defended environments
- Strong engineering skills (Python, Go, or similar)
- Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes
- Collaborative approach, working in close collaboration with the blue team
Strong candidates may also have experience with:
- Prior work at organizations with state actor threat models
- Interest in AI safety and how security engineering contributes to responsible AI developments
- Background testing AI/ML systems or agentic workflows
- Familiarity with detection engineering and SIEM/EDR platforms from the defensive side
- Experience with data center security or hardware-based attacks
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000—$320,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.