Risk management and V&V Engineer

Stellenbeschreibung:

Overview

In this role, you will lead risk management for AI-enabled SaMD in imaging, ensuring compliance with medical device standards. You will define verification and validation strategies and align with cross-functional teams to deliver safe, regulatory-compliant products. You’ll address AI-specific risks like performance, bias, cybersecurity, and drift, supporting regulatory submissions and post-market activities. This is a chance to shape risk governance in a diverse, values-driven culture that tackles challenging engineering problems.

Verantwortungsbereiche
  • Lead risk management activities for AI SaMD products in compliance with ISO 14971
  • Define and oversee verification and validation strategies for AI/ML-based medical software
  • Ensure compliance with IEC 62304, ISO 13485, FDA SaMD guidance, EU MDR, and GMLP
  • Evaluate AI-specific risks including model performance, bias, cybersecurity, data integrity, and model drift
  • Support regulatory submissions, audits, and post-market surveillance
  • Collaborate with Engineering, Data Science, Clinical, Quality, and Regulatory teams for safe product releases
Zentrale Anforderungen
  • 8+ years in Medical Device Software, Quality, Validation, or Regulatory Compliance
  • 3+ years in AI/ML-enabled healthcare solutions focused on CT/MRI/US imaging
  • AI/ML Risk Management
  • Software Verification & Validation (V&V)
  • Medical Device Regulatory Compliance
  • Requirements Traceability
  • Cybersecurity & Quality Management Systems
  • Stakeholder Management and Cross-functional Leadership
  • Stakeholder management
  • Cross-functional collaboration
  • Leadership
  • AI/ML Risk Management
  • Software Verification & Validation (V&V)
  • Medical Device Regulatory Compliance
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EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    07 Nov 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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