Platform Security Engineering - Auditor
San Francisco, CA | New York City, NYFull-TimeMid-levelSoftware Engineering
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 seeking a vulnerability assessment candidate for platform security. You'll work cross functionally with teams across Anthropic and our partners to assess security features in hardware, firmware, bootloaders, operating systems, and attestation systems to identify and remove vulnerabilities from the ground up.
- This role requires expertise in low-level systems security and the ability to audit the most security-critical platform elements. This is not a role where you can simply file a ticket and hope that the fixes get into production and stay in production. The role requires taking ownership that everything you find is eliminated fully and correctly in production, including ensuring known vulnerabilities are never reintroduced.
What You'll Do
- 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 our requirements for exploit mitigation
Who You Are:
- Proven track record of conducting hands-on vulnerability auditing on complex, security-critical systems
- 8+ years of experience in systems security, with at least 5 years focused on low-level security (firmware, bootloaders, and OS kernel-level security)
- 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
- 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
Strong candidates may also have
- Experience leading teams of auditors while maintaining focus on what the most business-critical and impactful audit targets are.
- Capacity to audit for logic bugs in code written in Rust or Go
- Ability to find vulnerabilities via reverse engineering in software that is 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
Deadline to apply: None, applications will be received on a rolling basis.
- 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.
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.
- 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.
