Security Software Engineer, Platform Integration
Anthropicindustry
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
Anthropic’s mission requires the ability to defend our compute resources against all types of adversaries. Meeting that bar requires more than trustworthy hardware, it requires a software stack to consume the trust primitives the platform produces: device identities, attestation evidence, integrity manifests, DICE chains, topology claims, debug-state assertions, encryption posture, etc.
This role makes sure that all the security-relevant system state that needs to be attested to is properly accounted for in a robust and comprehensive manner, and used appropriately for authorization decisions in production.
Key responsibilities
You will be the technical owner of Anthropic's platform trust integration surface, the host-side stack that ingests trust primitives produced by hardware and converts them into production gates for workloads. Concretely:
- Attestation verification pipeline. Consume trusted reference integrity manifests for every component in the TCB. Validate measurements end-to-end, surface drift, and gate workload placement on attestation outcomes.
- DICE chain consumption. Integrate with iRoT-rooted DICE chains where exposed, and define what Anthropic requires of partners where they aren't yet.
- Dynamic root-of-trust and late-launch integration. Working with other security engineers to ensure Anthropic's host software stack securely leverages DRTM primitives, and work with silicon vendors and firmware maintainers to address gaps in relevant technologies.
- Interconnect topology validation. Build the tooling to validate interconnect topology claims for multi-node workloads and catch deviations before they reach production.
- CPU and interconnect encryption posture. Validate that CPU and interconnect encryption are enabled and attestable on a given system; own Anthropic's position on performance tradeoffs and multi-node attestation integration work.
- Debug-disable verification. Define automated mechanisms to prove hardware debug mechanisms are disabled in production.
- Ensure devices/peripherals are appropriately covered. Accelerators are an essential component of AI workloads. We must ensure that platform trust extends to all relevant components, and the channels between them, too.
This is an IC engineering role not a PM role. You will write code, own services, and be accountable for the correctness of Anthropic's platform trust pipeline in production. You'll operate at the interface between Platform Security Engineering and the rest of Anthropic.
Minimum qualifications
- Deep systems software engineering experience with kernel, firmware, or low-level platform code.
- Understanding of hardware as encountered in modern server platforms, and implications of trust relationships within.
- Working knowledge of modern attestation primitives: RoTs, TPMs, DICE, SPDM, measured boot, DRTM across major CPU architectures, reference integrity manifest best practices, remote attestation protocols and design patterns.
- Ability to read vendor documentation critically and identify gaps between what the spec claims and what can actually be relied on in production.
- Strong ownership disposition: comfortable being the one accountable for a capability landing, including when it requires pushing partners.
- Supply-chain attestation work (SPDM, TCG provenance, pre-delivery identity bootstrapping beyond TOFU).
- Familiarity with relevant standards from TCG (TPM, DICE, etc.), IETF (RATS WG, SEAT WG, etc.), DMTF (SPDM, etc.), etc.
- History of shipping security-critical code in production at scale.
- 6+ years of professional directly related experience.
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.
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 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.
Come work with us!
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.