Senior Embedded AI Platform Security Engineer (m/f/d)

Job description

Join our Innovation Team, where we explore cutting-edge concepts at the intersection of Machine Learning and Security. Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. This requires high-level innovation skills combined with a hands-on mindset. If you are passionate about building secure AI systems, exploring new ideas, and turning concepts into prototypes, this role is for you: Design and implement security solutions for customer-provided ML models running on embedded hardware using secure execution environments and enclaves. Responsibilities: Develop secure boot and firmware integrity mechanisms for AI-enabled embedded platforms. Implement runtime hardening and isolation for ML workloads. Enable model protection using Trusted Execution Environments (TEE) and secure enclaves. Ensure secure loading and execution of ML models (ONNX, TensorFlow Lite) on edge devices. Required Skills: Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR Have a background in Machine Learning and...