Stand out for this role — generate a tailored resume and cover letter in about a minute.
AMD is building a hardware-assisted security platform that uses silicon-level PMCs and on-chip ML to detect advanced threats at the processor layer, below OS evasion. The role focuses on architecting the end-to-end real-time detection pipeline from kernel telemetry collection through GPU/NPU inference to API delivery.
You will lead the streaming SDK architecture, design tamper-resistant telemetry, define performance budgets and latency targets, mentor real-time developers, and collaborate on API
AMD is building a hardware-assisted security platform that uses silicon-level Performance Monitoring Counters (PMCs) and on-chip machine learning to detect advanced endpoint threats (ransomware, fileless malware, cryptojacking) at the processor layer, below OS-based evasion. The platform collects CPU behavioral telemetry, classifies it via an ML inference engine, and exposes threat signals to security-software partners through a standardized API. The team covers the full stack: silicon telemetry, ML training/validation, real-time inference, lab qualification and CI/CD.