Join our Innovation Team, where we explore cutting-edge concepts at the intersection of Machine Learning and Security. • Good understanding of secure boot, firmware integrity, and runtime security. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary. 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. Design and implement security solutions for customer-provided ML models running on embedded hardware using secure execution environments and enclaves. • Ensure secure loading and execution of ML models (ONNX, TensorFlow Lite) on edge devices. • Knowledge of cryptographic primitives for integrity and confidentiality
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