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Détails de l'annonce d'emploi

Project Chief Engineer

Daedalean AG
  • Date de publication :

    25 février 2025
  • Taux d'activité :

    100%
  • Type de contrat :

    Durée indéterminée
  • Lieu de travail :Zürich

About us:

Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.


Your role:

To provide technical leadership supporting the design and development of Daedalean’s suite of solutions for piloted and/or autonomous aircraft.

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Responsibilities:
  • Working with visual and digital sensor technologies, fusion algorithms, situational awareness algorithms, threat assessment, threat risk mitigation, flight guidance, flight computers, and aircraft integration.
  • Technical authority over a full development project scope.
  • Define system architectures, considering functional hazards and safety requirements.
  • Define baselines and manage configuration.
  • Manage cross-team interfaces and requirements.
  • Manage change.
  • Ensure development process adherence.
  • Evaluate supplier capabilities and provide recommendations.
  • Oversee certification compliance.
  • Capture lessons and implement improvements.
  • Support the Project Manager with resources leadership, reporting, and risk management.
  • Support the development of project schedules.


Preferred Qualifications & Experience:
  • Hands-on experience with electronics.
  • MS or PhD degree in Aerospace Engineering (guidance), Electrical Engineering (EE), Electrical and Computer Engineering (ECE), or related technical field, or equivalent experience.
  • A background in engineering with a strong academic record and a demonstrated ability to convert theory into practice.
  • 10+ years of Avionics and/or Flight Controls experience.
  • Experience with aerospace development processes: ARP4754A, ARP4761, DO-178C, DO-254.
  • Experience with the FAA and/or EASA certification processes.
  • Knowledge and/or experience with EASA Concepts for Design Assurance of Neural Networks (CoDANN) and First Usable Guidance (FUG) for Machine Learning Applications is a plus.
  • Experience with AI/ML applications is a plus.


Benefits:
  • A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
  • Difficult and interesting problems to solve. 
  • Pilot license subsidy.
  • Hybrid work setting.
  • Learning & Development budget: visit conferences of your choice.
  • Gym membership.


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