FR
Functional Safety for AI- Technical Lead
FR61 NXP Semiconductors France SAS
Publiée le
29/06/2026
Contrat
CDI · Inconnue
Localisation
France, Toulouse
Taille équipe
Inconnue emp.
Rémunération
Inconnue
Missions clés
Assurer la sécurité et la performance des systèmes développés chez NXP · Coordiner entre différents time horizons et garantir que les projets transition entre eux · Effectuer des tests de crash
Profil recherché
10+, Inconnue, Inconnue ans d'expérience · Légalkan · Communication
Outils & compétences
Rust, Rust Kotlin
Le poste en détail
Job Summary
You ensure that AI-based systems developed at NXP are safe, certifiable, and deployable by driving system safety architecture. You lead innovation projects for Safe AI, aligned with the centrally owned Safety & AI roadmap. You also coordinate between different time horizons and ensure that projects transition between them successfully. Additionally you manage the “Safety and AI” innovation team, and ensure people deliver to their full potential while creating a career path for them
Responsibilities
- Own execution of AI safety across projects by translating the Safety & AI roadmap into innovation projects.
- Together with other experts, define system safety concepts for AI-driven features, convert AI behavior into safety requirements and mechanisms, and ensure fail-safe or fail-operational behavior.
- Coordinate innovation projects with NPI and applications.
- Collaborate with the enablement team to update NXP development processes to include standards such as ISO 8800.
- Apply model validation, robustness checks, fault injection, and runtime safety mechanisms, and provide feedback on gaps.
- Provide structured feedback to the Safety & AI roadmap owner and contribute inputs based on project execution.
- Accountable for the success of the “Safety & AI” innovation team
Experience
- An intimate knowledge of ISO-26262 is mandatory, IEC 61508 is nice to have
- A good understanding of the Safety and AI landscape is mandatory
- 10+ years architecting, designing, and validating safety embedded systems; Automotive environments mandatory, others are nice to have
- Solid understanding of AI/ML in embedded systems
- Proven delivery across complex projects.
- Ability to bridge architecture, safety, and execution teams
- A first experience as manager is nice to have.
- Desirable: Technical leadership .
Education
- PhD or Master of Science in Electrical Engineering, Computer Engineering, or Embedded Systems, with at least 10 years of industry experience.