Platform Security Engineering, Operating Systems

Anthropic · Security

支持签证Anthropic H-1B 获批 76 次 (FY2025)英国签证担保名单$320k–$405k/年San Francisco, CA | New York City, NY | Seattle, WA发布 2026-07-07
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Visa sponsorship:  We do sponsor visas!

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职位描述 Job description

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 role

We're looking for an Operating Systems Security Engineer to harden and secure the OS layer of our infrastructure. You'll be responsible for designing and implementing OS-level security controls, from kernel hardening to runtime protection, ensuring our systems can withstand sophisticated attacks while maintaining the performance required for AI model training.

This is a hands-on role where you'll work with cutting-edge hardware and implement novel security solutions for environments that don't exist anywhere else in the world. You'll need to balance extreme security requirements with the operational needs of researchers training models at unprecedented scale.

Key responsibilities

Design and implement hardened OS configurations for AI workloads across diverse hardware platforms

Minimize attack surfaces by removing as many unnecessary components as possible from kernelspace and userspace

Develop kernel security policies using SELinux, AppArmor, and custom Linux Security Modules and runtime enforcement mechanisms

Implement and maintain full-disk encryption solutions for diverse storage systems

Build security infrastructure for AI systems, research environments, and production services

Create OS-level attestation and integrity monitoring systems

Apply security patches, develop patches for custom kernel modules, and kernel hardening configurations

Design secure boot processes and trusted execution environments

Work with container teams to ensure proper workload isolation at the kernel level

Design privilege separation and mandatory access control policies

Implement secure update mechanisms for OS components

Build tooling for security configuration management and compliance verification

Serve as a subject matter expert for OS security questions and designs

Minimum qualifications

Deep knowledge of Linux internals, including kernel subsystems and security frameworks (SELinux, AppArmor, seccomp, etc.)

Experience with kernel hardening techniques and exploit mitigation

Strong programming skills in C and systems programming languages

Experience with eBPF for security monitoring and enforcement

Understanding of virtualization and containerization security

Track record of identifying and fixing OS-level security vulnerabilities

Experience with security-focused Linux distributions

Preferred qualifications

5+ years of experience in operating systems security or kernel development

Kernel development experience or contributions to Linux kernel

Experience with real-time or embedded operating systems

Knowledge of hardware security features and their OS integration

Experience with secure boot technologies

Experience with confidential computing and memory encryption technologies (SEV, TDX, SGX)

Background in vulnerability research, exploit development, or fuzzing

Experience with formal methods for OS verification

Knowledge of hardware security features and their OS integration (TPM, HSM, secure enclaves)

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:

$320,000 — $405,000 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

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