- Job Responsibilities:

- 1.Lead and develop path/motion planning algorithms that include route planning, trajectory optimization, decision making, and open space planning.
- 2.Develop algorithms including: path planning algorithms for Lane centering, Automatic Lane Change, Lane Keep Assist, Automatic Parking, etc
- 3.Develop perception algorithms for personnel detect, object detection, tracking, classification, terrain mapping, localization and others.
- 4.Participate in R&D; programs through entire lifecycle, from initial inception through production and Research and develop new technology in perception & path planning
- 5.Develop production quality code and own your algorithms from design to production
- 6.Run simulation for path planning algorithm development and test various scenarios
- 7.Test code on mining and construction equipment.
- Desired Qualifications:

- 1.BE/ME/PhD in Computer Engineering, Robotics Engineering, Mechatronics, Computer Science, Electrical Engineering, Robotics or a related field.
- 2.Strong programming skills with C/C++ using Linux OS, and middle ware such as ROS/ROS2 and DDS.
- 3.Highly skilled in motion planning and control theory (e.g., model predictive control, vehicle dynamic modeling)
- 4.Understanding of graph-based data structures (quadtree, octree, KD-tree, etc.) and Precisely localize the vehicle with localization techniques such as SLAM.




- 5.Knowledge of search-based algorithms, path planning, A*, RRT, D *, etc.
- 6.Knowledge of Obstacle avoidance, Behavioral planning, new motion planning algorithms for comfortable and safe trajectories efficiently.
- 7.Hands-on experience in robotic and/or vehicle system design and implementation and knowledge of vehicle dynamics, kinematics and modeling
- 8.Experience on programming of Computer vision/perception Systems software, sensor fusion that integrates with perception sensors such as IMU, GPS, Stereo Cameras, Lidar, Radar.
- 9.Knowledge of PyTorch/CuDNN tools, Python, Tensorflow would be advantage.
- 10.Experience on ROS (Rosbag and RViz) for simulation with Path planning
- 11.Strong math background and strong computational geometry skills
- 12.Knowledge on embedded systems (NVIDIA Jetson, Xavier) & xilinx
- 13.Experience with ADAS would be an advantage.
- 14.Experience with MATLab / FPGA / ARM processor would be an advantage
- Preferred Qualifications:

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

📌 Robotics Software Engineer - Autonomy (India)
🏢 Career Soft Solutions
📍 India