sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials are extracted, moved, and processed. Its automation system transforms heavy machines into intelligent, automated robots powered by Physical AI and vertically integrates them into the full production environment: from the machine and safety infrastructure to network infrastructure, site processes, and operational interfaces. Co-developed with customers, sensmore is backed by Point Nine Capital, leading industry investors, the State of Brandenburg, and the European Union.Role Overview:We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. This role requires a strong background in computer vision, deep learning, and multimodal sensor fusion. The successful candidate will lead the development of real-time perception systems that enable autonomous heavy machinery to understand and operate in harsh, unstructured environments.Key Responsibilities:Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction.Develop and optimise multimodal networks fusing LiDAR, radar, and camera data for off-highway autonomous vehicles.Contribute to Vision-Language-Action (VLA) models integrating perception and language inputs for physical AI.Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs.Lead data initiatives for the perception stack, from data pipelines and curation to model evaluation.Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack.Required Qualifications:Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.Proficient in Python; strong experience with PyTorch.Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar).Practical experience deploying deep learning models in real time on