Job Description
Job details
Job Type
Full-time
90-100%
Full Job Description
Your Role:
To design and verify FPGA functionalities of our in-house processor designed specifically for visual SLAM pipelines and neural networks processing.
You are smart and get stuff done, and have experience with:
- Extensive RTL design - FPGA preferred,
- System-on-the-Chip (SoC) design,
- Machine Learning,
- Computer Vision will be a plus,
- C/C++ will be a plus.
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:
- 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, Apple, Nvidia, CERN, and Rolls Royce,
- Build cutting-edge technology that will shape our future,
- Join our pilots to test your ideas in the air during test flights in the Swiss Alps,`
- Develop scarce and marketable skills in the fields of safety-critical avionics systems development, computer vision, machine learning, and robotics.
About Daedalean AG
We are building autonomous flight control software for civil aircraft of today and the advanced aerial mobility of tomorrow. We bring to market the first-ever machine-learning-based avionics in an onboard visual awareness system demonstrating capabilities on a path to certification for airworthiness.