Senior Robotics and Machine Learning Engineer (m/f/d)

As a Senior Robotics and Machine Learning Engineer, you will be a key member of our Drone Port team, driving the development of object detection, tracking, pose estimation, and advanced robot control functionalities using AI concepts and machine learning techniques. You will apply a range of techniques, including machine learning, sensor fusion, and other innovative methods, to enable robust detection and tracking of drones and ensure precise landing and manipulation. With our world-class team, you will play a pivotal role in advancing drone technology, robotic automation, and the seamless operation of drone ports.

You will work closely with stakeholders from software, hardware and aeronautical engineering to design and implement end-to-end solutions that integrate the right sensors and systems for autonomous drone landing and take-off. Your role will be critical in selecting appropriate hardware components and developing the software needed to process sensor data, ensure real-time decision-making, and enable robust control. Your expertise will support Quantum Systems in its mission to become the benchmark for aerial data collection solutions with unmanned aerial systems (sUAV).

What is your Day to Day Mission:

• Lead the development of object detection, tracking, and pose estimation techniques to enable precise drone interaction and control using a variety of sensing methods.

• Design and implement the integration of multi-sensor setups to enable autonomous drone port functionality, ensuring seamless interaction between hardware, software, and control systems.

• Develop software solutions that process and interpret data from sensors such as cameras, LiDAR, GPS and other relevant technologies.

• Implement advanced robotics control strategies for drone landing, movement and take-off.

• Ensure robust software platform development, integrating with in-house user interface platforms.

• Conduct rigorous testing and validation of software to ensure reliability before market release.

• Collaborate with multidisciplinary teams including hardware specialists, robotics engineers, and aeronautical engineers.

• Interface with teams working on drone platforms and mission control software to ensure seamless integration.