About Us
Daedalean is a Zürich-based startup founded by experienced engineers aiming to revolutionize air travel within the next decade. We leverage computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.
Your Role
As part of our team, you will facilitate the integration of additional sensors such as radar and lidar into Daedalean's systems. By moving beyond purely camera-based environment perception, your contributions will enhance accuracy and reliability, enabling our technology to perform in a wider range of environmental conditions.
Your Tasks
- Research, analyze, and select sensors suitable for our products and applications.
- Prepare raw sensor data for fusion, focusing on data alignment, synchronization, calibration, noise reduction, and handling outliers to ensure data compatibility and quality.
- Design and implement algorithms that integrate data from diverse sensor modalities (e.g., cameras, lidar, radar, IMUs, GPS) to create a unified and robust perception of surroundings, employing techniques from data fusion, signal processing, and machine learning.
- Collaborate with hardware and software teams to integrate sensors and sensor fusion algorithms into our prototypes and products.
- Test new sensors and validate sensor fusion algorithms in both simulated environments and real-world scenarios to ensure accuracy, reliability, and safety.
Requirements
- At least 2 years of hands-on working experience with at least two of the following sensor types: radar, lidar, or cameras.
- In-depth knowledge of various sensor types (lidar, radar, cameras, IMUs, GPS), their operating principles, strengths, weaknesses, and data characteristics.
- Strong programming skills in C++.
- Experience with sensor fusion algorithms.
- Master’s degree in Aerospace Engineering, Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related technical field.
Benefits
- A team of experienced engineers and researchers who have joined us from renowned companies and institutions.
- Engaging and challenging problems to solve.
- Hybrid work setting.
- Learning & Development budget: attend conferences of your choice.
- Gym membership.
Application Process
Apply online using the form below. Only applications matching the job profile will be considered.