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 an interest in cybersecurity.
- Embedded programming (C/C++, Rust).
- Understanding of secure boot, firmware integrity, and runtime security.
- Experience with or interest in TEEs, TPM integration, and secure enclaves.
- Familiarity with ML model formats and deployment workflows.
- Knowledge of cryptographic primitives for integrity and confidentiality.
Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.More information about NXP in Austria...#LI-a8a1
