Advanced Robotics Professional

5 days ago

Bengaluru, Karnataka, India beBeeRobotics Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Job Overview

Pace Robotics is a construction robotics startup that aims to make the construction process faster, smarter, and efficient through robots that can perform advanced construction tasks and digitize execution data in real-time.

We are seeking a passionate and driven robotics professional with experience in SLAM (Simultaneous Localization and Mapping), Sensor Fusion, and 3D Robot Vision to develop cutting-edge state estimation and perception solutions for autonomous robots operating in challenging construction environments.

This role involves designing, implementing, and optimizing algorithms for real-time applications, developing robust sensor fusion pipelines integrating data from 3D/2D LiDAR, RGB-D camera, IMU, and wheel encoders, leveraging Deep Learning/Machine Learning based techniques to develop robot decision-making capabilities, conducting experimental evaluations in simulation and real-world scenarios, maintaining modular, well-documented codebases with scalability in mind, collaborating closely with hardware teams to deploy solutions on physical robots, contributing to technical research, staying updated with the latest in 3D Robot Vision and SLAM literature, performing debugging, profiling, and performance tuning for on-robot deployment.

Key Qualifications:
  • 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, Open CV, 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
Preferred 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
Personal Attributes:
  • Strong sense of curiosity and an eagerness to learn new concepts, technologies, and methodologies
  • Thrives in cross-functional, fast-paced R&D environments
  • Highly organized and methodical in everything you do

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