AI Systems Security Architect

Responsibilities

• Define and drive platform-wide security architecture and trust boundaries across silicon, firmware, and software for AI and datacenter systems.
• Drive platform attestation architecture, including root of trust, measured boot, reference measurements, and remote verification.
• Lead system-wide threat modeling, security analysis, secure-debug architecture, and protection of debug, test, and diagnostic interfaces.
• Write system architecture specifications for platform security features and incorporate security assessment and audit findings.
• Apply AI-assisted engineering tooling to accelerate security analysis, reviews, and documentation and help establish team usage practices.

Requirements

• Multiple years of experience in platform, system, or product security architecture with ownership at system scope.
• Deep understanding of CPU, accelerator, SoC, memory hierarchy, DMA, I/O subsystems, PCIe, and CXL security features.
• Experience with confidential computing, trusted execution environments, memory encryption, VM isolation, firmware security, secure updates, recovery, and anti-rollback.
• Expertise in root of trust, secure boot, measured boot, boot-chain architecture, attestation, DICE, SPDM, TPM/TCG concepts, and reference measurement lifecycles.
• Knowledge of cryptographic algorithms, key hierarchies, key management, threat modeling, security architecture, and platform-scope protocol design.
• Proficiency in C/C++ and ability to read assembly, along with practical fluency in AI-assisted and agentic development tooling.
• Experience securing AI/ML workloads at datacenter scale, including GPU and accelerator architecture, virtualization, SR-IOV, SIOV, MIG, and firmware.
• Experience with secure debug, JTAG and scan-chain protection, fuse and lifecycle-state management, side-channel analysis, and fault-injection analysis.
• Familiarity with SBOM, build provenance, Caliptra, OpenBMC, coreboot, EDK II, openSIL, external security audits, red teams, platform assessments, TCG, NIST, OCP, and post-quantum cryptography migration.
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

Benefits

• AMD benefits are offered as described in its benefits-at-a-glance materials.
• San Diego, California is preferred, with other AMD U.S. locations considered for the right candidate.
• Hybrid work arrangement is indicated.
• The role is not eligible for visa sponsorship.