Solutions Architect

1 day ago

Vadodara, Gujarat, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 26,25,000
Robotics Engineer Job Description

Are you an innovative and skilled robotics engineer looking for a challenging opportunity to develop and implement advanced robotic systems? Do you have expertise in designing, developing, and implementing on-board computer vision algorithms using classical and modern methods for real-time robot localization in an indoor warehouse setting?

This role involves working on the development and implementation of Python-based modules and pipelines to be deployed on both server and edge-based platforms. Key requirements include:

  • Designing, Developing, and Implementing Computer Vision Algorithms: Design, develop, and implement on-board computer vision algorithms using classical and modern methods for real-time robot localization in an indoor warehouse setting.
  • Contributing to Geometric Vision Algorithms: 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.
  • Implementing Sensor Fusion Techniques: 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: Have strong Python programming skills with an understanding of deep learning frameworks and workflow, responsible for conducting thorough testing and debugging of Python code to ensure reliability and robustness of pipeline implementations.
Required Skills and Qualifications

The ideal candidate will possess:

  • Strong Foundation in Physics and Robotics Systems: A strong foundation in physics and robotics systems, including ROS, 3D simulations, and sensor fusion-based navigation algorithms.
  • Proven Experience in Navigation and Localization Algorithms: Proven experience in developing navigation and localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles, or similar applications.
  • Hands-on Experience in Computer Vision: 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: Deep mathematical foundations with knowledge of 3D multi-view geometry, advanced linear algebra, numerical optimization, etc.

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