Platform Hardware Security

Job Application for Platform Hardware Security at Anthropic

Back to jobs New Platform Hardware Security San Francisco, CA | New York City, NY | Seattle, WA

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 Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up.

This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet.

Key responsibilities

Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers)

Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer

Develop measured boot implementations and runtime integrity monitoring

Create reference architectures and security requirements for bare-metal deployments

Integrate security controls with infrastructure teams without impacting training performance

Prototype and validate security mechanisms before production deployment

Conduct firmware vulnerability assessments and penetration testing

Build firmware analysis 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

Minimum qualifications

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 (C, Rust, Assembly) and systems programming

Knowledge of firmware vulnerability assessment and threat modeling

Track record of designing security architectures for complex, distributed systems

Experience with supply chain security

Ability to work effectively across hardware and software boundaries

Knowledge of NIST firmware security guidelines and hardware security frameworks

Preferred qualifications

8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security)

Experience with confidential computing technologies and hardware-based TEEs

Knowledge of SLSA framework and software supply chain security standards

Experience securing large-scale HPC or cloud infrastructure

Contributions to open-source security projects (coreboot, CHIPSEC, etc.)

Background in formal verification or security proof techniques

Experience with silicon root of trust implementations

Experience working with building foundational technical designs, operational leadership, and vendor collaboration

Previous work with AI/ML infrastructure security

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: $405,000 - $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 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...