Senior Embedded AI Platform Security Engineer

NXP Semiconductors

Senior Embedded AI Platform Security Engineer at NXP focusing on Machine Learning and Security solutions. Design and implement security mechanisms for AI models on embedded hardware.

Posted 4/15/2026full-timeGratkorn • 🇦🇹 AustriaSeniorWebsite

Tech Stack

Tools & technologies

Cyber SecurityRustTensorflow

About the role

Key responsibilities & impact

Design and implement security solutions for customer-provided ML models running on embedded hardware using secure execution environments and enclaves.
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.

Requirements

What you’ll need

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.
5 years of more experiences in 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.

Benefits

Comp & perks

home office
flexible working time
meal

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

embedded programmingCC++Rustsecure bootfirmware integrityruntime securityTrusted Execution EnvironmentsONNXTensorFlow Lite