Senior Embedded AI Platform Security Engineer
NXP Semiconductors
full-time
Posted on:
Location Type: Hybrid
Location: Gratkorn • Austria
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Job Level
Tech Stack
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