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

Nxp Semiconductors

Remote (Global) 1mo ago

About the role

Experteer Overview

Join NXP’s Innovation Team to advance secure AI at the edge. You will build security tooling for ML workflows, design safe APIs for embedded platforms, and perform threat modeling to protect ML systems. You’ll work across teams to integrate security checks into development pipelines while aligning with evolving ML security standards. This role offers hands-on prototyping within a mission‑driven environment focused on secure, scalable AI for edge devices.

Leistungen / Benefits

  • 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 RMF and similar standards
  • Collaborate with internal teams to integrate security checks into development pipelines

Aufgaben

  • Background in Computer Science, Cybersecurity, or Cryptography with interest in applied ML OR background in Machine Learning with 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)
  • Security responsibilities may be included in the role

Zentrale Anforderungen

  • Home office
  • Flexible working time
  • Meal benefits

Requirements

  • Background in Computer Science, Cybersecurity, or Cryptography with interest in applied ML OR background in Machine Learning with 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)
  • Security responsibilities may be included in the role

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 RMF and similar standards
  • Collaborate with internal teams to integrate security checks into development pipelines

Benefits

home officeflexible working timemeal benefits

Skills

Python

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