Machine Learning Engineer
Berlin/Potsdam robotics company providing Physical-AI automation systems for heavy machinery in raw-material operations.
Funding history
Investors
About sensmore GmbH
sensmore GmbH retrofits heavy mobile equipment with hardware, sensors, and AI software for machine assistance, site intelligence, vision-based monitoring, mapping, and autonomous material handling in quarrying, mining, and related industrial environments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build deep-learning models for 3D perception, sensor fusion, and Vision-Language-Action applications. You will optimize training and inference for NVIDIA edge hardware, lead perception-data initiatives, and integrate perception capabilities into the autonomy stack.
Requirements
- Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
- Python proficiency
- Strong PyTorch experience
- Expertise in 3D perception and LiDAR-camera-radar sensor fusion
- Experience deploying real-time deep learning models on embedded hardware using TensorRT, ONNX, Jetson, or Orin
- Understanding of machine learning, deep learning, and autonomous systems
Responsibilities
- Design and implement deep learning models for 3D perception
- Develop multimodal networks that fuse LiDAR, radar, and camera data
- Contribute to Vision-Language-Action models
- Optimize training and inference pipelines for NVIDIA edge GPUs
- Lead perception data pipelines, curation, and model evaluation
- Integrate perception systems into the autonomy stack
Benefits
- Stock options
- Beverages on-site
- Regular social events
- Relocation assistance to Berlin