Used Tools & Technologies
Machine Learning LLMRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Go @ 3
Distributed Systems @ 3
Communication @ 6
Rust @ 3
Audit @ 3
AI @ 3
HPC @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Platform Security Engineering, Auditor role focuses on hands-on vulnerability assessment for platform security: auditing hardware, firmware, bootloaders, operating systems, and attestation systems to identify and eliminate vulnerabilities. The role requires ownership to ensure findings are fully remediated in production and never reintroduced.
Responsibilities
- Audit secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers)
- Audit attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer
- Audit measured boot implementations and runtime integrity monitoring
- Integrate security controls with infrastructure teams without impacting training performance
- Validate security mechanisms before production deployment
- Conduct firmware vulnerability assessments and penetration testing
- Build firmware vulnerability assessment pipelines for continuous security monitoring
- Document security architectures and maintain threat models
- Collaborate with software and hardware vendors to ensure security capabilities meet requirements for exploit mitigation
Requirements
- Proven track record of conducting hands-on vulnerability auditing on complex, security-critical systems
- Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone)
- Strong understanding of cryptographic protocols and hardware security modules (HSMs)
- Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation
- Proficiency in low-level programming languages (C, Assembly) and systems programming
- Knowledge of firmware vulnerability assessment and threat modeling
- Ability to work effectively across hardware and software boundaries
- Strong communication and cross-functional collaboration skills
- Track record of assessing security architectures for complex, distributed systems
Preferred Qualifications
- 8+ years of experience in systems security, with at least 5 years focused on low-level security (firmware, bootloaders, and OS kernel-level security)
- Capacity to audit for logic bugs in code written in Rust or Go
- Ability to find vulnerabilities via reverse engineering in software provided only in binary form
- Experience performing fault injection & side-channel analysis attacks on hardware
- Experience auditing silicon root of trust implementations
- Experience auditing confidential computing technologies and hardware-based TEEs
- Background in formal verification or security proof techniques
- 5 or more talks at top-tier security conferences with candidate listed as first author
- Experience using LLMs to automate security assessment (including tooling creation)
- Experience securing large-scale HPC or cloud infrastructure
- Previous work with AI/ML infrastructure security
Compensation
- 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: will correlate with internal job level requirements
- Location-based hybrid policy: staff are expected to be in one of Anthropic’s offices at least 25% of the time (some roles may require more time on-site)
- Office locations listed: San Francisco, CA; New York City, NY; Seattle, WA
- Visa sponsorship: Anthropic states they sponsor visas and will make reasonable efforts to obtain a visa for offers, and retain an immigration lawyer to assist
How to Apply
Application materials requested include resume/CV or LinkedIn profile. The posting encourages applicants to apply even if they do not meet every qualification and provides guidance on safe recruiter communication.
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