About Us
Daedalean is a Zürich-based startup founded by experienced engineers who are determined to revolutionize air travel within the next decade. We integrate computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.
Your Role
Your primary responsibility will be to technically guide the Machine Learning engineering team and contribute to the development of 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 expand our data processing and ML training infrastructure.
- Manage a large codebase in Rust, Python, and C++.
- Address complex or urgent tasks that may be challenging for others.
- Effectively utilize relatively limited resources, including headcount and 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 within an industry setting, ideally encompassing the entire stack from model architecture to the design and implementation of evaluation pipelines.
- Proven research abilities in both industrial and academic environments, with a track record of tackling complex problems over extended periods.
- Demonstrated experience in leading projects under tight deadlines.
- Strong 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 skilled engineers and researchers, many of whom join us from leading companies and institutions.
- Engaging and challenging problems to solve.
- Hybrid work environment.
- Learning & Development budget: attend conferences of your choice.
- Gym membership.
Apply online using the form below. Only applications matching the job profile will be considered.