Lead end-to-end hardware and firmware security architecture for Arm-based AI server platforms. Define trusted computing, secure boot, attestation, cryptographic key management, lifecycle controls, interface security, and threat mitigations across silicon, firmware, virtualization, and system software. Translate security goals into engineering requirements, guide cross-functional teams, evaluate emerging threats, and protect AI models, data, workloads, and intellectual property from remote, physical, side-channel, and supply-chain attacks.

Define and lead end-to-end security architecture for a large-scale AI inference service platform. Own threat modelling, tenant isolation, platform and hardware security (secure boot, attestation, firmware integrity), network and API protections, secrets and key management, monitoring and incident response, and customer assurance. Partner across engineering, operations, compliance, and customers to set requirements, validate implementations, support audits and pentests, and provide technical leadership and mentorship.