Operating Systems Security Engineer

Anthropic's Mission
New York, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$320,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Cyber Security Computer Programming Embedded Operating Systems Fuzz Testing Monitoring of Systems Hardware Security Module Linux Kernel Linux Distribution Linux Security Modules Machine Learning Service Pack
+7 more
Subsystems System Programming Selinux Formal Methods U-Boot Operating System Security Vulnerability Analysis

Job description

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., * 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

Requirements

  • 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, * 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), 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.

Benefits & conditions

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, 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.

About the company

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., 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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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