About Us
Daedalean is a Zürich-based startup founded by experienced engineers who are dedicated to revolutionizing air travel over the next decade. By integrating computer vision, deep learning, and robotics, we are developing full “level-5” autonomy for flying vehicles.
Your Role
You will technically guide the Machine Learning engineering team and contribute to the development of the first certified AI avionics system.
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.
- Manage a large codebase using Rust, Python, and C++.
- Be willing to tackle any task that is too urgent, complex, or unappealing for others to handle.
- Optimize the use 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 an industry setting, ideally encompassing the entire stack from model architecture to the design and implementation of evaluation pipelines.
- Proven research skills in industrial and/or academic environments, including the capacity to work on challenging problems over extended periods.
- Demonstrated experience leading projects with tight deadlines.
- Strong communication skills.
Experience in aerospace engineering or avionics is not required; we will provide the necessary training on the constraints of safety-critical systems in airworthy applications.
Benefits
- A team of experienced engineers and researchers, many of whom joined us from renowned companies and institutions.
- Engaging and challenging problems to solve.
- Hybrid work environment.
- Learner & Development budget, allowing you to attend conferences of your choice.
- Gym membership.
Apply online using the form below.
Only applications matching the job profile will be considered.