Auro ( www.auro.ai ), is now the Autonomous Driving Division of Ridecell. While Auro shines in autonomous driving technology, Ridecell has a rich experience in operations and management of large fleets of vehicles at scale. We are together pushing for the widespread adoption of autonomous mobility with our self driving vehicles and end to end mobility service platform. We are looking for people passionate about autonomous vehicles and self driving cars to join us in this exciting journey.
We are looking for an expert Autonomous Vehicle Engineer who will own and lead the perception stack development of our autonomous vehicles
Own and lead the perception stack development
Develop object detection, tracking and classification systems using data from 3D LIDAR and camera
Build trackers or models for motion prediction of objects
Use pre-trained deep learning models for developing perception systems
Work with deep learning team for development of new models
Explore perception algorithms from latest research publications, study and implement them
Performance optimization for higher frame rates
MS in CS/EE/Robotics or equivalent
4+ years professional experience in Robotics or Autonomous Vehicle projects
Strong foundations in applied linear algebra, 3D data manipulations and computer vision
Experience with ROS, OpenCV, PCL, noise filters and kalman filters
Extensive experience in C++
Prior experience using deep learning models like CNN/R-CNN
Familiarity with various sensor technologies such as LIDAR, cameras, IMU, etc. and sensor fusion
5 years experience in Robotics/ Autonomous Vehicle / Automotive Industry
Experience with GPU based algorithms using CUDA
Experience in designing fault tolerant systems keeping in view of level 5 autonomous driving
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