Autonomous flight control for the electric personal aircraft of the near future


Daedalean is a Zürich-based startup, and our mission is to build a certified airworthy autopilot that can also pass the exams for human pilots.

The Innovation

There is no incremental path from UAV control to certification for personal transport (DAL-A), nor one from current DAL-A level avionics to full autonomy. We bridge that chasm.


We need to build a system that is sufficiently deterministic to pass certification, yet can deal with unexpected situations to justify the absence of a human pilot. Ultimately this is decided by regulatory bodies, not by science or engineering, so the main risk is the legal landscape. It is clear though, that some things will move, one way or another.


We have experts from robotics, computer vision, machine learning and avionics, and we have a pilot whose job it is to go through the requirements for human pilots and turn them into system requirements to which we can engineer. We rely on good execution with good people in a lean and agile organisation. A foundation of thorough classical systems engineering complements modern insights of machine learning and computer vision.


Luuk van Dijk, Founder and CEO

PhD in Physics (UvA, RuG). Google (Gmail, Maps, Go), SpaceX (flight software).

Jasmine Kent, Graphics and GPUs

BSc Mathematics & Computer Science (King's College, Univ. London), Google (Daydream VR), YouTube (Live, Content ID), SEGA.

Thomas Kindler, Legal

Dr. jur. (Bern, Switzerland), LL.M. (Georgetown, Washington DC). Legal counsel for siroop AG.

Mukta Prasad, Computer Vision and Machine Learning Lead

Also Adjunct Assistant Professor (previously Asst. Professor) at Trinity College Dublin. Previous: B.Tech in Computer Science (IIIT Hyderabad), PhD in Computer Vision (Oxford University), Postdoctoral researcher (ETH Zürich).

Matthias Kraft, Flight Software Engineer

PhD in Physics studying plasmonic systems (Imperial College London) with a stint in the Mathematics department working on MCMC samplers and their application to machine learning.

David Haber, Flight Software Engineer

MEng Computer Science (Imperial College London, work on neuroprosthetics/robotics in the Brain & Behaviour Lab), Cognitir (cofounder), Soma Analytics (machine learning/software engineer).

Philipp Krüsi, Autonomous Navigation Systems Engineer

PhD in Robotics (Autonomous Systems Lab, ETH Zürich), Carnegie Mellon University, Hilti, Porsche.

Anna Chernova, Pilot and Principal Engineer

BSc in Physics (СПбГУ); mathematical biology (Univ. of Oxford) and bioinformatics (NIMR MRC), Google (marketing; Maps -- quantitative analyst). Helicopter PPL(H) and fixed wing pilot.

Lucy Brandenberger, Autonomous Avionics Engineer

BSc Information Technology and Electrical Engineering & MSc Management, Technology and Economics (ETH), Google, iQIYI, Baidu Silicon Valley AI Lab.

Alexandru Băluț, Devtoolsmith

BSc Computer Science (Transilvania University), Google, Triposo, Pitivi.

Daniel Danciu, Software Development Lead

PhD Artificial Intelligence (Babeș-Bolyai University), Google (Shopping, Flights), YouTube (Live, Cast, API).

Patrick DeHart, Technical Writer

MA Education (University of Portland), BA Literature (UCSC), Content management experience working with data driven start-ups.

Svyatoslav Savenko, Flight Software Engineer

PhD in Physics (UU), Shell, Bloomberg, ETH Zürich.

Rocky, Top Dog

Emotional Support Partner (Google, SpaceX), Distinguished Laika.

Daila, Street Dog

Can open any door, as long as there's a guarantee of food on the other side. (Google, Streets of Barcelona)

Sandeep Menta, Computer Vision Engineer

MSc. in Robotics, Systems and Controls, ETH Zürich. B.Tech in Electrical Engineering, IIT Madras.



Mother Nature can be demanding, but you respect Her Power. Organizing information is all very well but in the end, it's Her laws that determine whether things fly and the speed at impact. To build the right models and learn to control them, we can always use more physicists. Inquire within.

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Avionics Hardware Design Engineer

To oversee development of innovative computer vision and flight control hardware we need someone who has been around the avionics block a few times. Someone who isn't a stranger to the letters and digits DAL-A, ARP4754 and DO254. Someone eager to join a team that has a development cycle measured in weeks rather than years and where you will be responsible for shaping the hardware of the future. Sound familiar? Come take a look.

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Electronics Hardware Engineer

Just like our software, we expect to build and source hardware that pushes the limits of current avionics limitations. As they said in The Six Million Dollar Man, "We can rebuild [the avionics components]. We have the technology." What we don't have is you. Let's see if we can change that too.

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Software Engineer

The invention of the wheel was exciting once, but then man discovered flight. We think manned flight is also pretty neat, but it's time for another update. We need you to help us break with tradition and build world-changing flight systems. Are you ready to stand alongside the Wright Brothers, Da Vinci, and Curie in history? Prove it.

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