Advanced Robotics Developer

7 days ago

Bengaluru, Karnataka, India beBeeRobotics Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Embark on a challenging role as a Robotics Research Engineer with Pace Robotics, where you will be at the forefront of developing cutting-edge state estimation and perception solutions for autonomous robots operating in construction environments.

Key Responsibilities:
  • Design and implement SLAM and state estimation algorithms for real-time applications
  • Develop robust sensor fusion pipelines integrating data from 3D/2D LiDAR, RGB-D camera, IMU, and wheel encoders
  • Leverage latest Deep Learning/Machine Learning techniques to develop robot decision-making capabilities
  • Conduct experimental evaluations in simulation and real-world scenarios
  • Maintain modular well-documented codebases with scalability in mind
  • Collaborate closely with hardware teams to deploy solutions on physical robots
  • Contribute to technical research and stay updated with the latest in 3D Robot Vision and SLAM literature
  • Perform debugging profiling and performance tuning for on-robot deployment
Requirements:
  • A minimum of a Master's degree with at least 2 years of work experience in a relevant field like Robotics Control Systems Mathematics Computer Science Electrical Engineering etc
  • Strong understanding of SLAM concepts Graph-based SLAM Visual SLAM LiDAR SLAM etc
  • Proficient in sensor fusion using Kalman Filters Particle Filters or other probabilistic models
  • Familiarity with classical Computer Vision techniques
  • Familiarity with concepts related to ML/DL
  • Good programming skills in C++ and Python
  • Experience with ROS and/or ROS 2
  • Experience with deep learning-based localization or VO/VIO systems
  • Strong foundations in mathematical concepts of Linear Algebra Probability Statistics and Differential Calculus
  • Experience with simulation environments like Gazebo Ignition ISAAC sim etc
  • Experience with implementing robot software on NVIDIA Jetson-based Edge Computing devices
  • Familiarity with relevant Libraries PyTorch TensorRT ONNX Eigen OpenCV PCL Open3D Ceres etc
  • Hands-on experience with real robots and perception sensors such as time-of-flight and stereo cameras 2D/3D LIDAR and IMUs
  • Comfortable with Git and collaborative development workflows
Desirable Skills:
  • Work experience with CUDA
  • Record of publications in reputed conferences and Journals
  • Knowledge of Real-Time OS RTLinux RTOS etc
  • Knowledge of Digital Signal Processing techniques
  • Knowledge of robot kinematics

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