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Mapping And Localization Engineer Swaayatt Robots

  • company name Swaayatt Robots
  • working location Office Location
  • job type Full Time

Experience: 0 - 4 years required

Pay: INR 1 - INR 10001 /Month

Type: Full Time

Location: Bhopal

Skills: Geometry, Computer Vision, Deep Learning, version control, Operating Systems, Machine Learning, Data structures, Sensors

About Swaayatt Robots

Job Description

As a Mapping and Localization Engineer at Swaayatt Robots, you will be responsible for designing, developing and testing software for mapping and localizing autonomous vehicles in challenging and unstructured environments. The work includes building maps of various environments in a modular and efficient manner so that the autonomous vehicles can localize in such environments with very high precision.


Responsibilities:
  • Implement and test existing state-of-the-art algorithms and pipelines for mapping and localization
  • Design, develop, and test novel algorithmic pipelines for performing mapping and localization
  • Work with data from various sensors and come up with techniques and solutions to solve the mapping and localization problem in challenging environments
  • Work on calibrating various sensors for integrating and on sensor fusion
  • Write high quality, efficient and modular code

    • Requirements:
  • Strong C/C and Python programming experience
  • Strong knowledge of data structures and algorithms
  • Familiarity with Bash Scripting, Build Systems, Version Control
  • Strong mathematical knowledge (Probability, Calculus, Linear Algebra, and various filters, like Kalman, Particle, EKF)
  • Knowledge of probabilistic graphical models, and numerical optimization techniques
  • Strong knowledge and experience with ROS and LCM or ZCM
  • Strong Knowledge of, and experience working with, real-time non-linear kalman filtering and smoothing techniques
  • Strong knowledge of, and experience with, 3D coordinate frames, transformations, multiple view geometry, and knowledge about lie groups and lie algebra.
  • Strong knowledge of pose-graph optimization, and experience with pose-graph optimization libraries like G2O/Ceres/GTSAM

    • Bonus qualification :
  • Knowledge of computer vision and control systems.
  • Experience working and interfacing with various sensors like Cameras, LIDARs, GPS, IMU etc.
  • Knowledge in machine learning and deep learning.
  • Experience with real-time operating systems (like FreeRTOS).

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