Platform Security Engineer

Anthropic is standing up a founding team to own the server management firmware running across its server fleet. You would be one of the first engineers on it. That means production firmware and manageability features (board bring-up through production) on one side, and hardening that firmware against sophisticated adversaries on the other.

Security is a first-class constraint in everything you ship: you’ll write firmware to a high security bar and partner closely with our firmware security and hardware engineers on secure boot, signing, and attestation., Production and manageability:

• Design, build, and ship OpenBMC firmware and manageability features for x86 and Arm (including GPU) platforms, from bring-up through production, using Yocto/OpenEmbedded
• Build the management stack on DMTF/OCP standards (MCTP, PLDM, SPDM, Redfish, RDE) and IPMI/KCS: sensors, telemetry, inventory, logging, RAS
• Implement BMC-to-BIOS/host communications, eSPI/LPC, thermal/fan/power management (PMBus)
• Work the hardware/firmware boundary: I2C/I3C, SPI, PCIe, SMBus, device trees, U-Boot, Linux

Security and hardening:

• Own the BMC security posture: secure and measured boot, root of trust, attestation (SPDM), authenticated update (PLDM FW Update), rollback protection, attack-surface reduction
• Lead threat modeling and secure design reviews; run coordinated vulnerability disclosure with vendors and the upstream community
• Build verification tooling: static analysis, fuzzing, firmware extraction, CI gating

• Strong technical cross-functional leadership skills, direction setting
• Hands-on OpenBMC/BMC firmware experience on x86 and/or Arm, from bring-up through production with hands-on D-Bus/sdbusplus
• Strong C/C++ and Python, deep Linux user-space/kernel fundamentals, and Yocto/OpenEmbedded proficiency
• A security mindset applied to firmware, not bolted on afterward
• Upstream contributions to OpenBMC, U-Boot, DMTF, or OCP
• Working knowledge of out-of-band and in-band management, the relevant DMTF specs, and the device interfaces they run over
• Strong debugging and a track record of shipping reliable, well-tested code.
• Clear communication across internal teams and external vendors
• Ability to work effectively across hardware and software boundaries
• Knowledge of NIST firmware security guidelines and hardware security frameworks, specifically SP 800-193 and 800-147/155, * 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security)
• Hardware roots of trust and attestation: Caliptra, OCP S.A.F.E., TPM/HRoT, SPDM
• Memory-safe systems code in Rust or Zig
• Firmware vulnerability research, reverse-engineering, or fuzzing
• Previous work with AI/ML infrastructure security, 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.

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, 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.

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., 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.