Job
- Level
- Erfahren
- Job Feld
- Application, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Potsdam
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Echtzeit-Wahrnehmungssysteme für autonome Maschinen, implementierst tiefenlernende Modelle zur 3D-Wahrnehmung und fusionierst multimodale Sensordaten für robuste Anwendungen in rauen Umgebungen.
Job Technologien
Deine Rolle im Team
- 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.
- 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar).
- Solid understanding of machine learning, deep learning, and autonomous systems.
- Familiarity with BEV perception and multitask learning.
Erfahrung
- Proficient in Python; strong experience with PyTorch.
- Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin).
- Experience with transformer-based perception architectures or VLA models.
- Experience with C++, ROS, and mmdetection.
- Experience with perception in off-road, adverse-weather, or otherwise challenging conditions.
- Proven track record of publications or significant industry experience in deep learning for autonomous driving or robotics.
Unser Angebot
- Build physical AI for the world's largest off-highway machinery - making them intelligent, safe, and ready for every tough task.
- Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors.
- Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment.
- Tailor your own career path, whether you like to become technical specialist or technical team lead.
- Experience a great team culture, beverages, and an amazing office environment.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Sensmore
Die sensmore GmbH ist ein innovatives Robotik-Startup aus Berlin, das sich auf die Entwicklung von Automatisierungslösungen für große Baumaschinen wie Radlader und Muldenkipper spezialisiert hat. Das Unternehmen setzt auf Physical AI, Robotik und Vision-Language-Action-Modelle, um Maschinen zu automatisieren, die in dynamischen Umgebungen agieren und Aufgaben ohne vorherige Schulung erledigen können. Der Fokus liegt auf Kunden aus den Bereichen Bergbau und Bauwesen.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Onsite
- Branche
- Industrie, Produktion
Machine Learning Engineer
- Ort
- Potsdam
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
