Your mission & challenges You’ll join the AI/Perception team to enable our robots to see, understand and interact with dynamic, human-occupied environments. You’ll be responsible for both designing deep-learning perception models and building the full sensor fusion and perception stack for humanoid and collaborative robots. Help us architect and build the full perception pipeline: from raw sensor input (cameras, LiDAR, IMU, force/torque, joint sensors) through sensor-fusion, object detection and tracking, 3D reconstruction, scene understanding, up to producing actionable world models and supplying necessary information to downstream modules (navigation, manipulation, interaction). Research the state-of-the-art in robot perception and deep learning and bring breaking results from academia to the real robot Design, train and finetune neural networks and deploy them both in the cloud and on embedded robotic hardware Implement real-time perception software in modern C++ and Python as needed; leveraging classical computer vision and GPU acceleration Use ROS2 and DDS frameworks for high data-throughput sensor pipelines, and validate modules both in simulation (e.g., Gazebo, Isaac Sim) and on real robot platforms, ensuring safety and robustness. Collaborate with hardware, control, planning and manipulation teams: define perception requirements, integrate sensor hardware, calibrate and optimize systems, develop diagnostics and performance tools, produce documentation and support CI/CD practices. What we can look forward to Excellent Master's or PhD degree in computer science, robotics, or a related field 3 years of relevant experience in building robust perception stacks for dynamic, human-centered environments Strong programming skills in Python or modern C++, experience with CUDA is a plus Practical experience with deep-learning frameworks (PyTorch, TensorFlow) applied to perception tasks in robotics; deployment on robotics hardware (e.g., NVIDIA Jetson) is a plus Solid background in computer vision and sensor fusion: 3D geometry, multi-view geometry, cameras/LiDAR/IMU fusion, point-cloud processing (PCL), and classical vision libraries (OpenCV) Excellent problem-solving skills and the ability to work independently and as part of a team Excellent English-language communication skills