AI Platform Security Engineer

Advanced Micro Devices, Inc•San Diego, CA

About The Position

AMD is seeking an AI Platform Security Engineer for its Product Security Office (PSO) to help secure platforms running demanding AI workloads. The role works across hardware, firmware, and software to implement and validate security features on internal test platforms, assess systems, and drive resolution of security issues, including customer-reported issues. The engineer translates security requirements and designs into working, verified results on real systems and collaborates with customers and teams across AMD. The position involves implementing and configuring platform security features, conducting assessments, developing and verifying fixes on hardware, supporting customer security requirements, and maintaining secure builds and AI harnesses. It also includes provisioning keys, certificates, and device identities; creating security testing and remediation tools; partnering with architecture, firmware, and software teams; and applying AI-assisted engineering tools.

Requirements

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
Multiple years of experience in security engineering or platform, firmware, or software engineering with a security focus.
Experience securing and debugging systems across hardware, firmware, and software, including security assessment, vulnerability analysis, and developing and applying fixes.
Experience provisioning and managing keys, certificates, and device identities, including secure boot signing, attestation, and PKI.
Solid understanding of platform security concepts, including secure boot, attestation, cryptography, memory safety, and isolation.
Proficiency in C/C++ and at least one scripting language such as Python, and comfort working in Linux environments.
Fluency with AI-assisted and agentic development tooling in real engineering work.
Strong communication skills and ability to drive issues to resolution across teams and with customers.

Nice To Haves

Experience securing AI/ML workloads or working directly on AI training or inference infrastructure, including familiarity with confidential computing and trusted execution environments.
Familiarity with GPU and accelerator platforms, virtualization (SR-IOV, SIOV, MIG), firmware, and datacenter interconnect standards (PCIe, CXL) and their security features.
Familiarity with supply-chain integrity practices, including SBOM, build provenance, and reproducible builds, and with open-source firmware projects such as Caliptra, OpenBMC, coreboot, EDK II, and openSIL.
Experience supporting external security audits, red teams, or independent platform assessment.
Knowledge of hardware security standards and frameworks such as TCG, NIST, and OCP.

Responsibilities

Implement, configure, and validate platform security features for AI systems on internal test platforms.
Conduct security assessments of platforms, firmware, and AI systems, and communicate findings and remediation clearly.
Develop, review, and apply security fixes, and verify them on real hardware.
Analyze and reproduce security issues reported by internal teams, customers, and researchers, and drive their resolution.
Support customer security requirements and respond to customer security inquiries and findings.
Establish and maintain secure builds and AI harnesses.
Provision and manage keys, certificates, and device identities for secure boot, attestation, and platform bring-up.
Develop tooling and automation to make security testing and remediation more efficient and repeatable.
Partner with architecture, firmware, and software teams to get fixes designed, implemented, and verified.
Apply AI-assisted engineering tooling to accelerate assessment, remediation, and documentation.