Geometric Vision Engineer - Perception and Localization - San Jose California

Company: Vimaan
Location: San Jose, California
Posted On: 01/26/2025

Geometric Vision Engineer - Perception and Localization
Vimaan is seeking a skilled and enthusiastic Computer Vision and Robotics Engineer to play a pivotal role in the development and implementation of advanced geometric vision, localization and SLAM algorithms for our state-of-the-art warehouse inventory products. 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 and requires thinking out-of-the-box to build modules that are both optimal and efficient.
Responsibilities

• 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.
  
• 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.
  
• Implement marker and tag detection algorithms using classical and modern computer vision techniques for real-time localization.
  
• 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.
  
• Contribute to the product architecture, make decisions on sensor selections, and deploy solutions in various customer sites and gauge system efficiency on a day-to-day basis.
  
• Characterize and build metrics on the effectiveness of the computer vision algorithms in tackling the problem at hand.
  
• The role will include assessment of the best-in-class technologies, choice of the right technologies to implement for the Vimaan use case, implementation of the technology into our real-life solutions at customer facilities and continued support and improvement of the technology in the field.
  
  Qualifications
  
  
  
  • Master's degree in Robotics, Computer Science, Navigation and Control Systems or related field.
    
  • 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 applications.
    
  • 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 expertise in Kalman filtering, Extended Kalman filtering, and other estimation techniques and knowledge of sensor fusion and data integration techniques.
    
  • 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.
    
  • 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.
    
  • Ability to work in a fast-paced, high-pressure startup environment and adapt to rapidly changing requirements.
    
  • High proficiency in C++ and Python, with allegiance to writing well designed and modular code.
    
    Role Level: Mid-Level. 1-2 years of work experience.
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