About us:
Daedalean AG is the artificial intelligence (AI) and autonomy hub of Destinus Group, a rapidly growing European defense and aerospace company developing the next generation of autonomous drones, effectors, and flight systems. Based in Zurich, the 100+ team develops safety-critical AI for aviation at the intersection of world-class research and real hardware. Its expertise spans computer vision, deep learning, and onboard reasoning – systems that can perceive the world, understand it, and make decisions in real time.
Your role:
To technically guide the Machine Learning engineering team and help build the first certified AI avionics.
Your tasks:
- Actively contribute to the application-level development and verification of our flagship Visual Traffic Detection system.
- Oversee our Machine Learning certification strategy.
- Maintain and grow our data processing and ML training infrastructure.
- Oversee a large codebase with Rust, Python and C++.
- Being willing to pick any task that is too urgent, complex and/or boring for someone else to take care of.
- Being able to make the most of relatively limited resources (headcount, infrastructure).
Qualifications and Experience:
- Excellent programming skills in C++ and/or Rust.
- Master’s or PhD degree in computer science, physics, mathematics or a related technical field.
- Practical experience in deep learning for computer vision in the industry setting, ideally covering the whole stack from model architecture to the design and implementation of evaluation pipelines.
- Proven research skills in industrial and/or academic environments, including the ability to work on difficult problems over long periods of time.
- Proven experience leading projects with tight deadlines.
- Great communication skills.
Experience in aerospace engineering or avionics is not required; we will teach you everything you need to know about the constraints of safety critical systems in airworthy applications.
Benefits:
- A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
- Difficult and interesting problems to solve.
- Hybrid work setting.
- Learning & Development budget: visit conferences of your choice.
- Gym membership.
