Machine Learning Engineer – Perception

About the role

We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. The role focuses on developing real‑time perception systems that enable autonomous heavy machinery to operate safely in harsh, unstructured environments.

Key responsibilities

• Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction.
• Develop and optimise multimodal networks that fuse LiDAR, radar, and camera data for off‑highway autonomous vehicles.
• Contribute to Vision‑Language‑Action models that integrate 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 profile

• Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• Proficient in Python with strong experience using 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 machine learning, deep learning, and autonomous systems.

Required skills

• Python
• PyTorch
• 3D perception
• LiDAR, radar, and camera sensor fusion
• TensorRT
• ONNX
• Jetson/Orin platforms
• C++
• ROS
• mmdetection

What we offer

• Opportunity to build physical AI for the world’s largest off‑highway machinery.
• Stock options and an attractive compensation package.
• On‑site beverages, regular social events, and a modern office environment.
• Relocation assistance to Berlin.