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 become a pilot support for our data gathering flight operations in the United States on a contractual basis. The data we collect with our fleet of aircraft is critical for machine learning training and evaluation. Operations typically consist of two or three week rotations, with a pilot and a flight engineer as the flight crew.
Your responsibilities will include the following:
- Operate our specially equipped C182 as PIC on dedicated missions to collect machine learning data across the United States. In this role you are responsible for the safety of the crew and aircraft.
- Conduct the operation in compliance with CFR14 Part 91 and Daedalean operation manual
- Work together closely with our data department and crew of flight engineers.
- Provide input on operational procedures and flight planning.
Preferred Qualifications and Experience:
- US CPL/IR with SE privilege.
- FAA Class 2 medical.
- Solid radiotelephony phraseology standard.
- A minimum of 5 years of experience and 2000 hours flight experience, which should include:
- 800 hours as PIC (a maximum of 300 hours as CFI or flown with a CFI on board will be credited toward this requirement),
- 300 hours piston SE, with at least 100 hours flown within the past 36 months,
- 50-100 hours within the past 12 months,
- 50 hours on C182 or C206 as PIC,
- 50 hours actual instrument flight,
- 30 hours night flying as PIC (no credit for hours as CFI or flown with a CFI on board).
- Solid cross-country experience.
- Operational experience as pilot in a professional flight operation (e.g. military, coast guard, SAR, EMS, part-135 etc.), in a multi-crew set-up (e.g. two pilots, pilot and technical crew, etc).
- Demonstrated captaincy (autonomy, decision making, leadership) and flexibility and mission dedication.
- Willing and able to spend several weeks in a row away from home (CONUS ops).
Benefits:
- Contribute to transforming the industry by certifying first machine learning-based products.
- Combine the best of both worlds: a) work in a fast-growing startup and b) collaborate with and learn from very experienced engineers and scientists that have previously worked at Google, SpaceX, Meta, NVIDIA, and Airbus.
- Build cutting-edge technology that will shape our future.
