About us: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 facilitate the integration of additional sensors (such as radar or lidar) into Daedalean's various systems, going beyond purely camera-based environment perception in order to make them more accurate, more reliable, and employable in an even wider range of environmental conditions. \nYour tasks will include the following:
Research, analyze, and select sensors suitable for our products and applications.
Prepare raw sensor data for fusion, including tasks like 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 the surroundings. This may involve 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 hands-on working experience with at least two of the following sensor types: radar, lidar, cameras.
In-depth knowledge of various sensor types (lidar, radar, cameras, IMUs, GPS), their operating principles, strengths, weaknesses, and data characteristics.
Good programming skills in C++.
Experience with sensor fusion algorithms.
Master's in Aerospace Engineering, Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related technical field.
Benefits:
A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
Difficult and interesting problems to solve.
Hybrid work setting.
Learning & Development budget: visit conferences of your choice.
