About us:
Daedalean is a Zürich-based startup with US HQ in Phoenix, Arizona. We were 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 come up with algorithms and code to completely and reliably replace the human pilot, only bound by the laws of Nature, Civil Aviation, and budget. Concretely you use machine learning to develop safety-critical algorithms and software for visual guidance, navigation, and control of aircraft, based on your own experience of flight and software engineering. You will contribute to projects spanning both commercial and defense applications, ensuring compliance with industry standards and government regulations while working on cutting-edge aviation technologies.
Please, note that the US citizenship is mandatory to be considered for the role.
You are smart and get stuff done, having at least:
- PhD degree in Computer Science in the field of Artificial Intelligence, Computer Vision, or Machine Learning,
- More than 5 years of high-level C++ software engineering experience in an industry environment and
- An in-depth practical and theoretical understanding of machine learning application and implementation and
- Business fluency in English.
Experience in aerospace engineering or avionics is a plus but is not required; we will teach you everything you need to know about the constraints of safety critical systems in airworthy applications.
Benefits:
- Generous medical, dental and insurance plan
- 401(k) retirement plan includes employer matching contributions
- Having an impact on the nascent autonomous flight sector
- A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
- Difficult and interesting problems to solve.
- Private Pilot License (PPL) subsidy.
- Hybrid work setting.
- Learning & Development budget.
Top Skills
What We Do
Daedalean creates safety-critical AI systems for situational awareness and flight control, with the eventual goal of developing certified autonomy in the air.
_0.png)
