Robotics Software Engineer Path Planning jobs in Chennai at Caterpillar India Private Limited

Caterpillar s Innovation and Technology Development Division is seeking an experienced Robotics Software Engineer Path Planning who is passionate about delivering autonomous vehicle solutions to production. This person is responsible for developing and demonstrating automation technologies, which are often used in conjunction with information systems, remote control, semi-autonomous, and fully autonomous machine control systems. This is an ideal opportunity for someone with experience in developing path planning algorithms, perception techniques and implementing production quality software in C/C++.

Responsibilities

Lead and develop path/motion planning algorithms that include route planning, trajectory optimization, decision making, and open space planning.
Develop algorithms including: path planning algorithms for Lane centering, Automatic Lane Change, Lane Keep Assist, Automatic Parking, etc
Develop perception algorithms for personnel detect, object detection, tracking, classification,

terrain mapping, localization and others.

Participate in RD programs through entire lifecycle, from initial inception through production and Research and develop new technology in perception path planning
Develop production quality code and own your algorithms from design to production
Run simulation for path planning algorithm development and test various scenarios
Test code on mining and construction equipment.

Desired Qualifications

BE/ME/PhD in Computer Engineering, Robotics Engineering, Mechatronics, Computer Science, Electrical Engineering, Robotics or a related field.
Strong programming skills with C/C++ using Linux OS, and middle ware such as ROS/ROS2 and DDS .
Highly skilled in motion planning and control theory (e.g., model predictive control, vehicle dynamic modeling)
Understanding of graph-based data structures (quadtree, octree, KD-tree, etc.) and Precisely localize the vehicle with localization techniques such as SLAM .
Knowledge of search-based algorithms, path planning, A*, RRT, D *, etc.
Knowledge of Obstacle avoidance, Behavioral planning, new motion planning algorithms for comfortable and safe trajectories efficiently
Hands-on experience in robotic and/or vehicle system design and implementation and knowledge of vehicle dynamics, kinematics and modeling
Experience on programming of Computer vision/perception Systems software, sensor fusion that integrates with perception sensors such as IMU, GPS, Stereo Cameras, Lidar, Radar .
Knowledge of PyTorch/CuDNN tools, Python , Tensorflow would be advantage.
Experience on ROS (Rosbag and RViz) for simulation with Path planning
Strong math background and strong computational geometry skills
Knowledge on embedded systems (NVIDIA Jetson, Xavier) xilinx
Experience with ADAS would be an advantage.
Experience with MATLab / FPGA / ARM processor would be an advantage

Preferred Qualifications

Experience with C++ 14/17 and python
Experience in modern planning approaches including randomized search methods and trajectory optimization and modern model predictive control and other advanced control techniques.
Publications in CVPR/NIPS/ICML/ICLR would be an added advantage.