Send your application to › [email protected]
Focus
3D object pose detection.
About the role
The Computer Vision Engineer will be responsible for developing, training, and optimizing algorithms for detecting and estimating the three-dimensional pose of objects. The goal is to enable the system to understand the position and orientation of objects in space by integrating computer vision models with real-time applications on robots or edge systems. The candidate will work closely with the software and hardware teams to implement efficient solutions in Python, preferably optimized for execution on GPUs or edge devices.
Technical skills required
- Programming: Object-oriented programming in Python (mandatory); knowledge of C++ is a plus.
- CV and DL frameworks: PyTorch or TensorFlow, OpenCV.
- Specific experience: 3D object pose estimation, point cloud processing.
- Specific experience: Neural networks for detection and localization (e.g., YOLO, RFDetr, DiffusionModels).
- Optimization and inference: TensorRT, ONNX, or deployment on GPU/edge devices.
- Version control and collaboration: Git, GitHub/GitLab.
- Development: Familiarity with Docker, knowledge of cloud platforms (preferably Google Vertex AI).
Nice to have
- Camera testing and calibration: knowledge of intrinsic/extrinsic calibration techniques and camera parameter validation.
- Experience with multi-camera or RGB-D systems (e.g., Intel RealSense, ZED, or similar).
- Experience with VLM, VLA applied in robotics.
- Familiarity with ROS/ROS2.
Additional information
- Contract Type: Full-time
- Location: Milan / Carate Brianza (MB)
- Smart Working: Available (e.g., 1 day/week, subject to team policy)
- Driving Licence: Required
Why Join Oversonic Robotics?
- Contribute to a pioneering company shaping the future of humanoid robotics in Italy.
- Work with cutting-edge technology with real-world impact.
- Collaborate with a passionate and innovative team in a hybrid work environment.
- Join a company committed to sustainability, transparency, and social benefit.
- Enjoy opportunities for professional growth and influence our technological direction.
Apply now
Send your application to › [email protected]
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