Machine Learning Engineer

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.

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

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

Benefits

• Stock options
• Beverages on-site
• Regular social events
• Relocation assistance to Berlin