Robotics Engineer - I Edgeforce Solutions

3.0 - 5.0 years

3 - 6 Lacs

Hyderabad

Work from Office

We are seeking a Robotics Engineer with a solid foundation in robotic control systems , kinematics/dynamics , and mathematical modeling , coupled with practical experience in implementing these systems on real-time embedded or high-performance compute platforms. The role involves developing autonomous motion logic , estimation frameworks , and robotic algorithms for field-deployable intelligent machines. Core Technical Responsibilities- Robotics Kinematics & Dynamics Forward and inverse kinematics (serial/parallel manipulators, mobile platforms) DenavitHartenberg (D-H) parameterization, transformation matrices, SE(3) frames Inverse dynamics using Newton-Euler and Lagrangian methods Multi-body dynamics modeling, Jacobian computation, singularity handling Constraint resolution for underactuated or redundant robotic systems Dynamics compensation for payload variation and external disturbances Control Systems Design PID, cascaded PID, feedforward + feedback hybrid control Linear state-space modeling, controllability and observability analysis LQR, pole placement, and optimal trajectory stabilization Model Predictive Control (MPC) basics for path tracking Sensor feedback loop integration (encoder, IMU, force-torque sensors) Saturation, anti-windup, slew rate limiting, and safety interlocks Estimation & Sensor Fusion IMU + magnetometer + GPS fusion using complementary filters or Kalman filters (EKF/UKF) Dead-reckoning, drift compensation, and heading estimation Odometry tracking for differential drive, Ackermann steering, and holonomic bases Sensor latency calibration and outlier rejection filters Covariance propagation and uncertainty bounding SLAM or VIO pipeline understanding (bonus) Math Tools & Simulation Proficient in Eigen for linear algebra (matrices, quaternions, decompositions) Use of MATLAB/Simulink, Python (NumPy/SciPy), or C++ math libraries Simulation using Gazebo, Isaac Sim, Webots, or custom physics engines Motion planning algorithms: A*, RRT, potential fields, trajectory smoothing Testing with synthetic sensor injection and disturbance modeling System Integration Interface with embedded firmware teams for control loop integration Tuning control loops for real-world timing, actuator limits, and environmental response Coordinate frame management (NED, ENU, body-fixed, camera frames) Deployment onto real-time OS or Linux-based compute nodes (ROS 1/2 stack) Real-world calibration procedures: encoder zeroing, IMU alignment, gain tuning Tools & Frameworks ROS 1/2 (navigation, tf, control, message transport) RViz or 3D visualization tools for debugging Git, CMake, and CI pipelines for code validation Logging, playback, and telemetry analysis (e.g., rosbag, custom log viewers) Preferred Qualifications B.Tech / M.Tech / Ph.D. in Robotics, Control Systems, Mechatronics, or Applied Mechanics 3–7+ years of robotics control and estimation experience Strong background in applied mathematics and physical modeling Experience with robotic arms, mobile robots, UAVs, or hybrid autonomous platforms Publications or project contributions in control, planning, or estimation domains

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