Embedded AI Platform Security Engineer (m/f/d)

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:

Develop security tools and frameworks for Bring Your Own Model (BYOM) workflows and perform threat modeling for ML pipelines. Ensure proactive detection of vulnerabilities and compliance with emerging ML security standards.

Responsibilities

* Build security scanning tools for ML artifacts and deployment workflows.
* Design secure APIs for model integration on embedded platforms.
* Perform threat modeling for ML systems (poisoning, evasion, prompt injection).
* Implement monitoring solutions for model integrity and anomaly detection.
* Ensure compliance with NIST AI Risk Management Framework and similar standards.
* Collaborate with internal teams to integrate security checks into development pipelines.

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. 

* Strong Python development for automation and tooling.
* Experience with threat modeling methodologies adapted for ML systems.
* Knowledge of adversarial ML attacks and defenses.
* Familiarity with secure API design and integration.
* Understanding of compliance frameworks (NIST AI RMF, ISO/IEC AI security standards).

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