NXP Semiconductors

Senior Embedded AI Platform Security Engineer

NXP Semiconductors

full-time

Posted on:

Location Type: Hybrid

Location: GratkornAustria

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About the role

  • 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

  • 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
  • home office
  • flexible working time
  • meal
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