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Anthropic is building the platform security foundation for the infrastructure that trains frontier models. This role owns DRTM across the fleet and will be a visible participant in Linux and firmware communities.
You will partner with firmware security, hardware, and OS hardening engineers, and interact with vendor and OEM partners whose DRTM implementations we depend on.
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.
Anthropic is building the platform security foundation for the infrastructure that trains and serves frontier models. This role owns Dynamic Root of Trust for Measurement (DRTM) across that fleet: bringing it up on x86 and ARM, building the attestation and isolation properties it makes possible, and hardening the parts of the platform that DRTM alone does not cover.
The work sits at the lowest layers of the stack: firmware, bootloaders, kernel, and the silicon features underneath them. It is also unusually public. We expect the DRTM work done here to land upstream, and the person in this role will be a visible participant in the Linux and firmware communities rather than a consumer of them.
Security carries the same design weight as performance and scalability at datacenter scale. You will partner closely with our firmware security, hardware, and OS hardening engineers, and directly with vendor and OEM partners whose DRTM implementations we depend on.
DRTM adoption and integration:
Vendors and upstream:
Broader low-level platform work:
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: $320,000 - $405,000 USD
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 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.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.