AI-Driven Healthcare Software Design QA Engineer

Philips Health Technology Innovation Paris

Paris

Hybrid

EUR 37.000 - 55.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

7% STI

Zusammenfassung

Philips Health Technology Innovation Paris is seeking a Software Design Assurance Quality Engineer to help bring AI-enabled healthcare software to patients safely by embedding quality and design controls throughout development.

The role collaborates with Paris-based Cardiologs products and global AI initiatives, reviewing design documentation, risk management, and post-market information, and working with engineering, regulatory and safety teams to drive corrective actions.

Qualifikationen

  • Engineering or related higher-education in software/biomedical fields.
  • Ability to review requirements, design docs, tests and evidence.
  • 2+ years in software quality/design assurance or regulated engineering

Aufgaben

  • Partner with software teams from early design to review requirements and risk management.
  • Support portfolio split between Paris Cardiologs products and global AI initiatives.
  • Review design docs, test procedures, performance evidence and post-market information.
  • Collaborate with engineering, regulatory and safety to identify gaps and drive corrective action.
  • Work with international quality team and Paris-based mentor on Philips processes and quality practices.
  • Build expertise across regulated software, patient safety and AI risk.

Kenntnisse

AI awareness
Detail-oriented
Stakeholder communication

Ausbildung

Engineering degree or related

Jobbeschreibung

Philips Health Technology Innovation Paris is seeking a Software Design Assurance Quality Engineer to help bring AI-enabled healthcare software to patients safely by embedding quality and design controls throughout development.

The role collaborates with Paris-based Cardiologs products and global AI initiatives, reviewing design documentation, risk management, and post-market information, and working with engineering, regulatory and safety teams to drive corrective actions.

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