Job
- Level
- Experienced
- Job Field
- Application, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Potsdam
- Working Model
- Onsite
Job Summary
In this role, you will develop real-time perception systems for autonomous machines, implement deep learning models for 3D perception, and fuse multimodal sensor data for robust applications in harsh environments.
Job Technologies
Your role in the 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.
- Optimize training and inference pipelines for real-time deployment on NVIDIA edge GPUs.
- Leiten Sie Dateninitiativen für den Perception-Stack, von Datenpipelines und -kuratierung bis hin zur Modelbewertung.
- Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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 a technical specialist or a technical team lead.
- Experience a great team culture, beverages, and an amazing office environment.
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Topics that you deal with on the job
Job Locations
This is your employer
Sensmore
sensmore GmbH is an innovative robotics startup based in Berlin that specializes in developing automation solutions for large construction machinery such as wheel loaders and dump trucks. The company utilizes Physical AI, robotics, and vision-language-action models to automate machines that can operate in dynamic environments and perform tasks without prior training. It primarily targets customers in the mining and construction sectors.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Industry, Production
Machine Learning Engineer
- Location
- Potsdam
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
