Computer Vision Engineer - 40-80k EUR (part-time/full-time & experience based)

About Us:

Aerisense develops smart autonomous drones that operate without GPS or remote control. Our systems support defense, border patrol, and rescue operations by navigating using terrain and visual data in real-time.

Role Summary:

You will be responsible for developing and optimizing terrain matching algorithms and vision-based navigation systems for drones. Your work will power core autonomy features, enabling drones to make sense of the environment without relying on GPS.

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Key Responsibilities:

• Design and implement computer vision algorithms for real-time navigation.
• Develop and optimize SLAM pipelines (e.g., ORB-SLAM, VINS-Fusion).
• Use deep learning frameworks (e.g., TensorFlow, PyTorch) for object detection, feature matching, and scene understanding.
• Integrate CV modules with embedded systems (Jetson, Raspberry Pi, etc.).
• Work with sensor data (camera, IMU) for sensor fusion and pose estimation.
• Collaborate with robotics engineers to integrate navigation stack.

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Required Skills:

• Strong experience with Python and OpenCV/NumPy.
• Experience in one or more of the following: SLAM, visual odometry, or terrain matching.
• Hands-on experience with TensorFlow or PyTorch.
• Familiarity with Kalman filters or other sensor fusion methods.
• Ability to process and analyze real-time video or image data.

Nice to Have:

• Experience deploying CV/ML models on embedded hardware.
• Exposure to Gazebo or other robotics simulation tools.
• Prior work with MAVLink or PX4 (not required).
• Experience with electronics and component assembly.
• Drone flying experience.
• FPV flying experience.

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Job Type

• Both part-time and full-time positions are available for this role.

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Location

• Hybrid with possibility to work on-site in northern Italy or Poland.

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Hiring Process

• Technical Python test (online, Python coding).
• Recruiter call.
• Technical call.
• On-site team interivew (offline).