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Embedded AI Platform Security Engineer(m/w/x)
In this role, you will design and implement robust security solutions for machine learning models on embedded hardware, focusing on secure execution environments and innovative protection mechanisms. Your work will directly contribute to the development of secure AI systems.
Requirements
- Background in Computer Science, Cybersecurity, or Cryptography
- Background in Machine Learning and 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
Tasks
- Develop secure boot mechanisms for AI-enabled embedded platforms
- Implement firmware integrity mechanisms for embedded systems
- Apply runtime hardening for ML workloads
- Ensure isolation for machine learning tasks
- Enable model protection using Trusted Execution Environments (TEE)
- Utilize secure enclaves for enhanced security
- Ensure secure loading of ML models on edge devices
- Facilitate execution of ONNX and TensorFlow Lite models
Education
Languages
Tools & Technologies
- AT61 NXP Semiconductors Austria GmbH & Co KGFull-timeOn-siteSeniorGratkorn
- NXP Semiconductors Austria GmbH & Co KG
Experienced AI/ML System Security Architect(m/w/x)
Full-timeOn-siteExperiencedGratkorn - AT61 NXP Semiconductors Austria GmbH & Co KG
ML Model Security & Privacy Architect(m/w/x)
Full-timeOn-siteNot specifiedGratkorn - NXP Semiconductors Austria GmbH & Co KG
Experienced System Security Architect(m/w/x)
Full-timeOn-siteExperiencedGratkorn - AT61 NXP Semiconductors Austria GmbH & Co KG
ML Security Tools & Threat Modeling Engineer(m/w/x)
Full-timeOn-siteExperiencedGratkorn
Embedded AI Platform Security Engineer(m/w/x)
In this role, you will design and implement robust security solutions for machine learning models on embedded hardware, focusing on secure execution environments and innovative protection mechanisms. Your work will directly contribute to the development of secure AI systems.
Requirements
- Background in Computer Science, Cybersecurity, or Cryptography
- Background in Machine Learning and 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
Tasks
- Develop secure boot mechanisms for AI-enabled embedded platforms
- Implement firmware integrity mechanisms for embedded systems
- Apply runtime hardening for ML workloads
- Ensure isolation for machine learning tasks
- Enable model protection using Trusted Execution Environments (TEE)
- Utilize secure enclaves for enhanced security
- Ensure secure loading of ML models on edge devices
- Facilitate execution of ONNX and TensorFlow Lite models
Education
Languages
Tools & Technologies
About the Company
AT61 NXP Semiconductors Austria GmbH & Co KG
Industry
IT
Description
The company is focused on secure, connected IoT devices and offers the EdgeLock 2GO IoT service platform.
- AT61 NXP Semiconductors Austria GmbH & Co KG
Senior Embedded AI Platform Security Engineer(m/w/x)
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