Senior AI/ML System Security Architect (m/f/d)
Core
Designing and architecting end-to-end security solutions for AI/ML on resource-constrained edge devices.
Role type
Senior System Security Architect (AI/ML focus)
Builds
Secure embedded intelligence products and systems for edge devices
Domain
Semiconductor industry, embedded systems, AI/ML security
Deliverable
production ML models | infrastructure
Required skills
AI/ML system security architecture, embedded software design, regulatory compliance integration, cost-benefit analysis of security mechanisms, threat analysis for edge AI, cryptography fundamentals
Preferred skills
PhD in EE/CS/Mathematics, experience deploying AI/ML on edge devices, hardware security knowledge
Technologies
NXP products, embedded security frameworks, AI/ML inference engines
Responsibilities
Analyze emerging security threats for AI/ML on edge devices, define countermeasures for real-world customer needs, integrate regulatory requirements into security concepts, evaluate cost-benefit trade-offs of security mechanisms, implement protections on resource-constrained devices, stay ahead of AI/ML and embedded security ecosystem developments
Seniority
Senior, hands-on IC
