Latest Security Engineering jobs at Anthropic

Conduct offensive security operations, red-team engagements, penetration testing, and adversarial simulations across cloud, endpoint, and bare-metal environments. The role requires at least five years of experience, strong engineering skills, and expertise across multiple security domains.

Leads technical SOX controls assurance for financially significant systems, translating audit requirements into engineering acceptance criteria and continuous monitoring. Requires ITGC and SOX 404 expertise, strong engineering fluency, programming ability, and cross-functional collaboration with Finance, Engineering, and auditors.

The Staff Software Security Engineer will secure large-scale AI clusters and multicloud infrastructure through network controls, identity management, secure development workflows, and threat modeling. The role requires 8+ years of software engineering experience, strong systems programming skills, and deep cloud and Kubernetes security expertise.

Build and operate evaluations for cyber capabilities and safeguard robustness in AI models, analyze adversarial data, and develop cyber-abuse detection probes. The role requires hands-on cybersecurity experience, Python proficiency, evaluation expertise, and strong cross-functional communication.

This hands-on security engineer will research sophisticated threat actors, build intelligence pipelines, conduct threat hunts, analyze malware and infrastructure, and translate findings into durable detections. The role requires at least five years of cyber threat intelligence or related experience, strong Python engineering, and malware and detection-analysis expertise.

Leads cyber-focused AI misuse enforcement, managing analysts and contractors while developing detection and mitigation strategies for attacks, malware, and exploitation. Requires people management, cybersecurity expertise, high-volume abuse enforcement, data analysis with SQL or Python, and cross-functional risk communication.

Owns DRTM adoption, attestation, and platform hardening across x86 and ARM infrastructure, working across firmware, bootloaders, kernels, hardware, and silicon security. The role requires deep systems-security experience, upstream Linux or firmware contributions, and strong vendor and OEM leadership.

Leads Anthropic’s coordinated vulnerability disclosure and CNA programs, including jailbreak disclosures, external researcher partnerships, public communication, and AI-assisted triage. The role requires disclosure coordination, vulnerability-response operations, and security-community engagement experience.

The analyst develops and evaluates cyber product policies, enforcement guidance, controlled-access frameworks, and launch-review inputs for AI systems. The role requires strong policy writing, cybersecurity or platform-enforcement familiarity, technical security literacy, and cross-functional communication.

Senior hands-on security engineer responsible for endpoint hardening, device trust, identity and SaaS governance, and scalable corporate-security automation across a growing organization. Requires endpoint security expertise, Python scripting, IAM and zero-trust depth, and strong threat-modeling judgment.

Build the GRC platform at Anthropic by designing data pipelines, integrations, and agentic LLM workflows that automate compliance evidence collection, policy-as-code, and real-time risk reporting across cloud, identity, HR, and CI/CD systems.

This foundational privacy engineering role designs privacy-preserving architectures, infrastructure, governance systems, and compliance controls for large-scale AI training and inference. It requires substantial software engineering experience, privacy expertise, and technical leadership across engineering, research, legal, and product teams.

Lead the Secure Frameworks Research team at Anthropic to build high-leverage security libraries and frameworks (cryptographic, serialization, authorization) that prevent vulnerabilities in AI model development. Manage engineers, drive adoption across teams, and balance security rigor with development velocity; requires 5+ years security/software engineering and 3+ years managing security teams.

Safeguards Enforcement Analyst focused on account takeover and credential abuse. Investigate compromise incidents, design remediation workflows, partner with engineering on detection, enforce AI usage policies, and develop scalable enforcement programs for platform safety.

Red Team Engineer on Anthropic's Safeguards team performing adversarial testing and full kill-chain attacks on AI products to uncover vulnerabilities, jailbreaks, and novel abuse vectors before malicious exploitation. Requires strong pen-testing, red teaming, and LLM-specific security experience.

Audit and secure low-level platform components including firmware, secure boot chains, attestation systems, and hardware roots of trust for Anthropic's AI infrastructure. Requires deep expertise in systems security, vulnerability assessment, and ownership of fixes through production.

Staff Application Security Engineer focused on M&A due diligence and secure integration of acquired codebases and systems at Anthropic. Lead security assessments, risk readouts, post-close remediation and automation using Claude, while contributing to core AppSec work. Requires 7+ years AppSec experience, rapid codebase assessment skills, and coding ability.

Lead the Model Exploitation & Fraud team in Threat Intelligence at Anthropic. Set strategy, hire and manage technical investigators, direct complex investigations into AI model distillation, account abuse, and fraud networks, and engage with U.S. government partners. Requires management experience with senior ICs, domain expertise in scaled abuse, and proficiency in SQL/Python.

Lead and build Anthropic's CBRN-E & Advanced Weapons threat intelligence team. Investigate and disrupt AI misuse for chemical, biological, radiological, nuclear, explosives, and novel weapons development; manage investigators, engage government partners, and inform AI safety strategies. Requires deep biosecurity/weapons expertise, team leadership, and LLM knowledge.

Hardens and secures the OS layer for Anthropic's AI infrastructure, designing kernel-level protections, runtime enforcement, attestation, and isolation for large-scale model training environments. Requires deep Linux kernel expertise, C/systems programming, and OS security experience.

Senior security engineer building and maintaining identity, secrets, and cloud security systems for AI infrastructure. Requires 5+ years experience, strong Python/Go/Rust skills, and cloud security expertise.

Founding engineer building and securing OpenBMC firmware for x86/Arm server fleets. Own production firmware, manageability features, and security hardening including secure boot, attestation, and threat modeling.

Lead detection and response engineering efforts, building tooling and processes to monitor threats, investigate incidents, and coordinate responses across Anthropic's technology stack. Requires 5+ years in detection engineering, incident response, or threat hunting.

Design and implement security architectures for bare-metal infrastructure including secure boot chains, attestation systems, and firmware security for AI training hardware. Requires expertise in low-level systems security, cryptographic protocols, and hardware root of trust technologies.

Lead security controls assurance for AI systems, defining control frameworks and requirements for autonomous AI operators while collaborating with engineering to validate implementations against compliance standards.

Lead complex security risk initiatives end-to-end, building AI-native risk quantification and automation platforms. Requires 8+ years in software or security engineering with deep expertise across security domains and strong programming skills.

Build systems to detect and prevent account abuse by analyzing signals at scale, integrating vendor data, and creating monitoring tools. Requires 3+ years experience in software engineering focused on fraud/abuse, proficiency in Python/SQL.

Designs and builds complex security systems for AI infrastructure, focusing on identity management, developer security, cloud controls, and cryptographic frameworks. Requires 8+ years experience, strong Python/systems programming, and Kubernetes security expertise.

Build safety mechanisms for AI systems including monitoring for unwanted behaviors, abuse detection, and enforcement tools. Requires 5+ years software engineering experience, Python/TypeScript proficiency, and preferably trust/safety expertise.

Research Engineer on Cybersecurity RL team advances AI models in secure coding, vulnerability remediation, and defensive cybersecurity using RL techniques. Requires cybersecurity expertise, ML experience, and strong engineering skills.

Partners with engineers to embed security in AI product development through threat modeling, secure reviews, tooling, and vulnerability management. Requires 5+ years experience, programming proficiency, and offensive security mindset.

Investigates and disrupts misuse of AI systems for cyber threats like malware and influence operations. Develops detection techniques and intelligence reports, requiring proficiency in SQL, Python, and threat intelligence frameworks.

Build AI-powered cybersecurity products by prototyping ideas, collaborating with research teams on model capabilities, and engaging customers to shape product direction. Requires 7+ years software engineering experience, cybersecurity background, and strong product instincts.

Builds threat detection infrastructure, data pipelines, and tooling for threat intelligence team. Requires strong Python/SQL skills, experience with orchestration tools, YARA rules, and external API integrations.

Builds and scales security analytics infrastructure, including data pipelines for telemetry processing and ML-powered detection systems using Claude. Requires 7+ years in software engineering focused on security, infrastructure, and data pipelines.