Senior Security Software Engineer, Linux Kernel Security - Nodes & Sensors

About the role

Anthropic's Detection Platform team is building the next-generation Linux endpoint security system that protects our AI research and production infrastructure. We're looking for a senior engineer to architect and implement node-layer security sensors, develop kernel-based detection systems for ML workloads, and build tooling that leverages Claude to transform how security operations work.

This is a high-ownership role on a small team. You'll design systems that run across our rapidly growing fleet with minimal performance overhead, partner closely with security and infrastructure engineers, and help shape the technical direction of endpoint detection at Anthropic.

Key responsibilities

• Build kernel-level security detections for our AI platform, including eBPF-based sensors for Linux endpoints

• Design and implement scalable data pipelines for ingesting and processing security telemetry across our infrastructure

• Architect monitoring solutions for production systems that minimize performance impact on ML workloads

• Prototype new security tooling and analytics capabilities, including applications of Claude to detection and response workflows

• Partner with security and infrastructure teams to translate requirements into reliable, maintainable systems

• Contribute to the growth of the Security team through code reviews, mentorship, and hiring

• Participate in an on-call rotation

Minimum qualifications

• Background in software engineering with a focus on security, infrastructure, Linux internals, and/or operating systems

• Ability to write maintainable and secure code in Rust and/or C/C++

• Strong understanding of operating system internals and OS security primitives

• Experience with test-driven development and CI/CD workflows

• Experience partnering with security teams to translate requirements into technical solutions

• Track record of leading technical projects with minimal guidance and bringing clarity to ambiguous problems

Preferred qualifications

• 7+ years of software engineering experience, with significant time spent on security, infrastructure, or operating systems work

• Direct experience with eBPF and kernel-level instrumentation

• Experience with detection-as-code workflows

• Experience with infrastructure-as-code tools such as Terraform or CloudFormation

• Background building security tooling from the ground up

• Experience implementing security monitoring solutions (SIEM, log aggregation, EDR)

• Background in detection engineering or security operations

• Experience with SOAR platform or security automation development

• Experience with data lake and database architecture, or query optimization over large datasets

• Experience with API design and internal platform development

• Track record of applying ML or AI to security problems

• Experience scaling security operations in a high-growth environment

• Experience contributing to hiring, mentorship, and engineering culture on a security team

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.

Benefits

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

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.

Come work with us!

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