Platform Hardware Security Engineer (AI)

Location: San Francisco, New York City, or Seattle, United States; hybrid policy requires staff to work from an office at least 25% of the time

Annual salary: $320,000–$405,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Design secure boot chains across CPUs, BMCs, switches, peripherals, embedded microcontrollers, firmware, and operating systems.
• Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through the application layer.
• Develop measured boot implementations and runtime integrity monitoring for bare-metal infrastructure.
• Create reference architectures, security requirements, threat models, and security controls for large-scale deployments.
• Prototype and validate security mechanisms, conduct firmware vulnerability assessments and penetration testing, and build continuous firmware analysis pipelines.
• Collaborate with infrastructure teams, software and hardware vendors to integrate security without affecting AI training performance.

Requirements

• Hands-on experience with secure boot, measured boot, attestation technologies, TPM, Intel TXT, AMD SEV, or ARM TrustZone.
• Strong understanding of cryptographic protocols, hardware security modules, firmware security, bootloader hardening, and chain-of-trust implementation.
• Proficiency in low-level and systems programming with C, Rust, and Assembly.
• Experience designing security architectures for complex distributed systems, including supply chain security and threat modeling.
• Knowledge of NIST firmware security guidelines and hardware security frameworks.
• Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

• 8+ years of systems security experience, including at least 5 years focused on firmware and hardware security.
• Experience with confidential computing, hardware-based TEEs, silicon roots of trust, or formal verification.
• Knowledge of SLSA and software supply chain security standards.
• Experience securing large-scale HPC, cloud, or AI/ML infrastructure.
• Contributions to open-source security projects such as coreboot or CHIPSEC, plus operational leadership and vendor collaboration experience.

Culture & Benefits

• Collaborative research environment focused on large-scale AI safety and long-term impact.
• Flexible working hours and an office environment designed for collaboration.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
• Frequent research discussions and emphasis on communication across disciplines.