Develop mass-production-ready 3D object detection, depth estimation, obstacle ranging/speed estimation, and undefined obstacle detection algorithms for embedded platforms (e.g., TDA4, Xavier).
Develop and optimize perception algorithms for autonomous driving productization.
Job requirements
Proficient in at least one deep learning framework (Caffe, TensorFlow, PyTorch, etc.). Deep knowledge in object detection, depth estimation, or LiDAR-camera fusion.
Strong programming skills in C++/Python with hands-on experience in autonomous driving projects.
Master’s degree or higher; publications in top-tier computer vision conferences or competition rankings are preferred.
Passion for autonomous driving, perfectionist mindset, and strong problem-solving skills.