Deeproute.ai aims to provide the safest, smartest, and most
reliable Level 4 full-stack self-driving solution. Our goal is to
innovate forms of future transportation with the power of
technology. As part of the team, you will play an essential role in
developing and deploying state-of-the-art autonomous vehicle
technology, and you will be able to lead cutting edge research in
computer vision and deep learning to advance our perception system.
Join us on this exciting journey.
+ Lead and participate in cutting edge research in computer
vision and deep learning;
+ Research and prototype techniques and algorithms for object
detection and recognition;
+ Design and implement efficient, accurate and robust perception
system for autonomous driving cars;
+ Design, train, and evaluate perception solutions, e.g.,
segmentation, tracking, LiDAR data classification, etc.
+ Ph.D, Ph.D candidate or M.S. in Computer Science or related
+ Experience designing, training and deploying neural networks,
familiar with a DL library (Tensorflow/Pytorch/Caffe)
+ Experienced with Computer Vision Algorithm, object detection,
segmentation, tracking, Camera calibration, depth estimation, 3D
bounding box estimation. Knowledge in 3D LiDAR point cloud
processing and RGB-D 3D reconstruction algorithms.
+ Experienced with algorithms and data structures. Strong Python
and C/C++ programming skills.
+ Experience with formulating and solving computer vision and
robotics optimization problems.
+ Excellent communication skill.
+ Proven track record of achieving significant results as
demonstrated by grants, fellowships, patents, as well as
first-authored publications at leading workshops or conferences
such as CVPR, ECCV, ICCV, ICRA, NIPS, ICML, or similar.
+ Contributions in open source projects in related fields.
+ Good ranking in benchmark competitions in computer vision or
+ Distinguished programming skill.