Who are we?
Stereolabs is the leading 3D perception solutions startup for Advanced Intelligent Robotics. Our end-to-end 3D perception platform combines state-of-the-art deep learning and computer vision with our 3D cameras to create accurate real-time models of the real world. Stereolabs enables robots to interact more intelligently with their operating environment and our customers to optimize the management of their spaces.
With more than 100,000 users worldwide, in nearly 130 countries, Stereolabs is fueling the development of the next generation of intelligent robots.
Responsibilities
Stereolabs is looking for an ambitious and dynamic Deep Learning / Embedded Vision Engineer to join our team and actively contribute to the core technology of our vision platform. As a Deep Learning Engineer, you will work within the AI team and your main missions will be to:
- Implement and train real-time algorithms for visual and semantic recognition of 3D scenes, objects, and people.
- Improve the performance and robustness of the Depth Sensing and Visual SLAM AI modules.
- Optimize the workflow and tools for training and selecting architectures (NAS, AutoML) and hyperparameters (smart tuning).
You will work closely with the R&D and product teams to develop solutions that will be integrated on tomorrow's intelligent robots.
Minimum Requirements
- Master's degree or PhD in the fields of computer vision or image processing.
- Very good knowledge of the state of the art and of DNN training techniques.
- Strong skills in Python and C++.
- Good practical experience with PyTorch and OpenCV. TensorRT is a plus.
- Passionate about the latest advances in the AI field (Transformers, Attention, etc.).
#J-18808-Ljbffr
