Robotics Engineer

Title:

Location:

Role Level:

Localization).

Salary:

Key Requirements:

• Design, development and implementation of on-board computer vision algorithms, using both classical and modern methods, meant for real-time robot localization in an indoor warehouse setting.

• Contribute to geometric vision algorithms involving 3D computer vision tasks such as dense/sparse 3D reconstruction, Multiview pose estimation, RGBD fusion, 3D object

detection and 3D dimensioning.

• Implement sensor fusion techniques to integrate data from multiple sensors such as LIDAR, Cameras, IMU and ToF to enhance the accuracy and robustness of vehicle navigation.

• Strong Python programming skills with an understanding of deep learning frameworks and workflow. Responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations.

• Contribute to the product architecture, make decisions on sensor selections, and deploy solutions in various customer sites and gauge system efficiency on a day-today basis.

• Ownership of the development and implementation of pipelines for computer vision and machine learning algorithms and packaging software for efficiency.

• Hands-on experience in computer vision and machine learning projects, solving real- world problems involving vision tasks.

• Ability to understand problem statements and implement and test new ideas under supervision.

• Maintain comprehensive documentation of code, algorithms, and pipelines.

• Capability to work collaboratively in a team and communicate effectively.

Must Have:

• Strong Python programming skills. Responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations.

• Strong foundation in physics and robotics systems – including ROS, 3D simulations and sensor fusion based navigation algorithms.

• Proven experience in developing Navigation and Localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles or similar application

• Hands-on experience in computer vision (classical and modern), visual odometry and SLAM projects, solving real-world problems involving vision, navigation and localization tasks.

• Deep mathematical foundations with knowledge of 3D Multi-view Geometry, Advanced Linear Algebra, Numerical Optimization, etc.

• Deep insights into depth cameras and 3D data characteristics.

• Ownership of the development and implementation of modules for computer vision and packaging software for efficiency.

• Maintain comprehensive documentation of code, algorithms, and pipelines.

• Capability to work collaboratively in a team and communicate effectively.