Job Overview
The successful candidate will work on cutting-edge robotics projects, focusing on sensor fusion, computer vision, SLAM (Simultaneous Localization and Mapping), path planning, navigation, and Reinforcement Learning.
Roles and Responsibilities
- Develop and implement algorithms for SLAM, vSLAM, path planning, computer vision, and Reinforcement Learning.
- 3D reconstructions and deep learning
- Design and implement navigation strategies for robotic systems.
- Work closely with cross-functional teams to integrate robotics systems.
- Develop an in-depth understanding of various sensors such as LiDAR, IMU, and cameras.
- Optimize algorithms for real-time performance.
- Implement and maintain codebase primarily in C/C++ and Python.
- Utilize tools like ROS (Robot Operating System), OpenCV, and PyTorch.
- Hands-on work with robotic hardware, including system setup, calibration, and debugging.
- Test robotic systems in simulated and real-world scenarios, including evaluation of navigation efficacy and safety.
- Publications in recognized conferences or journals such as ICRA /IROS/CVPR
Skills and Experience Required
- Experience in robotics, computer vision, path planning, navigation, and Reinforcement Learning.
- Proficiency in C/C++ and Python.
- Experience with ROS (Robot Operating System).
- Experience in computer vision libraries such as OpenCV.
- Deep learning frameworks experience, preferably with PyTorch.
- Understanding of various types of sensors used in robotic systems.
- Experience with robotic hardware is a must.
Qualifications/Certifications Required
BTech, MTech, or PhD in Robotics, Computer Science, Electrical Engineering, or related fields.
- BTech or MTech – minimum 8 years to 15 Years