sensmore automates the world's largest machines with unprecedented intelligence.
Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.
We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.
Join us and play a pivotal role in transforming the automation landscape in heavy industries.
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.
Responsabilidades
: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
Calificaciones
: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 embedded hardware (TensorRT, ONNX, Jetson/Orin).Solid understanding of...