Job Description

About us:
is a Zurich-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.
Your 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.

• 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.

• 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.
• Gym membership.