Das ist der Job
Our mission at SafeAD is to deliver the most intelligent and safe autonomous driving technology.
Darum lohnt es sich
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 What we’ll offer you: The chance to work on state-of-the-art technology for autonomous driving in a motivated team A working place characterized by a flat hierarchy, quick processes and full focus on tech Stock options If you share our vision and would like to be part of it, please submit your application.
We believe the key to achieving this is all AI and mapless. Our technology is used by some of the world’s largest automakers and Tier 1 suppliers. We look forward to hearing from you! #J-18808-Ljbffr
