In this role, you’ll:

• Improve core perception tasks: 3D Object Detection, Tracking, Segmentation, and Freespace estimation
• Build and scale Auto-labeling pipelines to reduce manual annotation costs and increase data diversity
• Implement robust tracking-by-detection algorithms in 3D space
• Work on large ML models and big data with our ever growing in-house compute
• Test your software in our self-driving vehicle

We require you to have:

• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience with deep learning in at least one sensor modality (camera / LiDAR/ RADAR), ideally using transformer based models
• Strong experience programming in C++ and Python
• A strong team player and learning mindset

It’s a plus if you have:

• Hands-on experience in the fields of autonomous driving and computer vision
• Knowledge of TensorRT, LibTorch, or ONNX for hardware-specific deployment
• Worked in mid to large software projects