Security Firmware Architect

Responsibilities

• Define and drive security firmware architecture across AMD’s product portfolio.
• Advance confidential computing and virtualization security technologies, including SEV-SNP, VM and tenant isolation, trusted I/O, memory encryption, and remote attestation.
• Develop security architecture for AI workloads and agents, including hardware-rooted trust, attestation, isolation, authorization, and sensitive-data protection.
• Lead threat modeling, security analysis, vulnerability assessment, CVSS scoring, and mitigation activities across hardware, firmware, and software.
• Write architecture specifications for platform and firmware security features.
• Engage customers and ecosystem partners to capture security requirements and create documentation and training materials.
• Track security research and attacks and contribute to industry standards, publications, and conferences.
• Innovate with AI-assisted engineering tooling and workflows for security analysis, review, and documentation.

Requirements

• Multiple years of experience in platform, firmware, or product security architecture with ownership at system scope.
• Experience with confidential computing and trusted execution environments such as AMD SEV-SNP, Intel TDX, or ARM CCA.
• Deep understanding of CPU, GPU, and NPU subsystems; memory hierarchy and caches; DMA; I/O; and x86 or ARM security and virtualization extensions.
• Experience with operating systems and virtualization, including Linux kernel and driver development, hypervisors, and containers.
• Experience with hardware security modules, secure boot, root-of-trust implementations, secure firmware updates, and attestation protocols.
• Familiarity with PCIe, CXL, TDISP, and IDE security features.
• Knowledge of cryptographic algorithms, key hierarchies, and hardware and firmware key management.
• Proficiency in C/C++ and ability to read AMD64 or ARM assembly.
• Experience handling security vulnerabilities, including assessment, CVSS scoring, mitigations, and external communications.
• Familiarity with security for on-device and data center AI workloads, GPU/NPU virtualization, agent identity, authorization, and isolation.
• Fluency with AI-assisted and agentic development tooling in real engineering work.
• Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

Benefits

• AMD benefits are offered; details are referenced in AMD benefits at a glance.