Used Tools & Technologies
Machine LearningRequired 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
Distributed Systems @ 3
Leadership @ 3
Communication @ 3
Rust @ 5
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 is seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You will work with teams across the company 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 large AI models.
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 requirements
Requirements
- 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
- Experience with confidential computing technologies and hardware-based TEEs
- Knowledge of the SLSA framework and software supply chain security standards
- Experience securing large-scale HPC or cloud infrastructure
- Contributions to open-source security projects (e.g., coreboot, CHIPSEC)
- Background in formal verification or security proof techniques
- Experience with silicon root of trust implementations
- Experience working on foundational technical designs, operational leadership, and vendor collaboration
- Previous work with AI/ML infrastructure security
Compensation and Benefits
- Annual Salary: $405,000 USD (range listed: $405,000 - $405,000 USD)
- Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration spaces.
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
- Location-based hybrid policy: staff expected to be in one of our offices at least 25% of the time (some roles may require more)
- Visa sponsorship: Anthropic sponsors visas and retains an immigration lawyer to assist; sponsorship is not guaranteed for every role/candidate but the company will make reasonable efforts for successful offers.
How we're different
Anthropic focuses on large-scale, high-impact AI research with strong collaboration across teams. The company values communication skills and seeks candidates who can contribute to trustworthy, steerable AI systems.
More jobs at Anthropic
Life Sciences Operator, Lead
Anthropic · San Francisco, United States
USD 300,000-320,000 per year
Finance Systems Engineer, Revenue
Anthropic · San Francisco, United States, Seattle, United States
USD 205,000-270,000 per year
Research Scientist, Life Sciences (Computational)
Anthropic · San Francisco, United States
USD 300,000-320,000 per year
Product Manager, Safeguards (Verticals)
Anthropic · San Francisco, United States
USD 305,000-385,000 per year
Lead, Frontier Red Team (Cyber)
Anthropic · San Francisco, United States, New York City, United States
USD 485,000-690,000 per year
Similar jobs
Platform Security Engineering, Auditor
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-405,000 per year
Forward Deployed Engineer - Physical AI Cloud Platform
Nebius · United States, San Francisco, United States, Austin, United States
USD 179,500-224,300 per year
Senior Platform AI Engineer
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Software Engineer
SentinelOne · United States
USD 132,000-182,000 per year
Security Controls Assurance Lead
Anthropic · Washington, United States, New York City, United States, San Francisco, United States
USD 345,000 per year
Staff Software Engineer, Machine Learning Platform
Stripe · South San Francisco, United States, Seattle, United States
USD 224,000-336,000 per year
Staff + Sr. Software Engineer, Cloud Inference Launch Engineering
Anthropic · San Francisco, United States
USD 320,000-485,000 per year
Staff Software Engineer, AI Developer Tooling
Sentry · San Francisco, United States
USD 240,000-300,000 per year