Robotic Engineer - II Edgeforce Solutions

4.0 - 6.0 years

5 - 8 Lacs

Hyderabad

Work from Office

We are seeking a Senior Robotics Engineer with extensive expertise in developing end-to-end robotic autonomy systems . The candidate must demonstrate deep capability in real-time control , multibody dynamics , optimal motion planning , and state estimation . The role demands rigorous system-level thinking, cross-disciplinary coordination with embedded and software teams, and research-grade mathematical modeling skills applied in real-world autonomous platforms. Key Technical Responsibilities- Robot Kinematics and Dynamics Advanced inverse and forward kinematics for serial, parallel, and mobile robots SE(3), SO(3), Lie group operations and coordinate transformation pipelines Analytical Jacobians, manipulability metrics, singularity resolution Inverse dynamics using recursive NewtonEuler and Lagrangian mechanics Floating-base dynamics, contact models, and hybrid system simulation Payload-compensated control, inertial parameter identification, external force rejection Control Systems (Model-Driven and Real-Time) Multi-loop cascade control for position, velocity, and torque domains Linear and nonlinear control system design (PID, LQR, MPC, adaptive control) Full-state feedback controllers with observer integration Trajectory stabilization using feedback linearization or robust Lyapunov techniques Control saturation, switching logic, anti-windup, and stability margin guarantees Real-time controller deployment on embedded or hard-real-time platforms Estimation & Sensor Fusion Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and information filters IMU, GPS, visual odometry, magnetometer, encoder fusion pipelines Drift modeling, bias estimation, and covariance bounding Nonlinear observer design and uncertainty propagation SLAM backend optimization, graph-based estimation pipelines Time synchronization and latency compensation between asynchronous sensors Motion Planning and Autonomy Kinodynamic motion planning with collision checking and constraint enforcement Trajectory optimization (minimum-jerk, time-optimal, energy-optimal) Sampling-based algorithms (RRT, RRT*, PRM) and trajectory smoothing Local reactive planners (DWA, TEB) integrated with global planners Real-time re-planning in dynamic environments Path-following with differential flatness-based control Mathematical & Computational Tools Strong command of Eigen , Ceres Solver, CasADi, Pinocchio or Drake Matrix decompositions (QR, SVD, Cholesky), convex optimization, constrained solvers Jacobian/Hessian calculation (symbolic or autodiff) for control and planning MATLAB/Simulink, Python/SciPy for prototyping and validation Numerical integration schemes for multibody systems (Runge-Kutta, Lie Integrators) Systems Integration ROS 1/2 deployment pipelines with real-time node scheduling ROS2 middleware customization with DDS tuning for hard real-time Sensor calibration (extrinsic/intrinsic), actuator synchronization Middleware integration with embedded control logic and real-world I/O Latency-aware system architecture for perception-planning-control loop closure Safety-oriented architecture with mode management and failsafe logic Engineering Process & Leadership Lead architecture design across perception, control, and decision layers Perform formal system verification and stability validation Supervise integration of simulation and hardware-in-the-loop (HIL) pipelines Guide junior roboticists in control, planning, and systems modeling Contribute to R&D publications, patents, or technology demonstrators Manage task breakdown, technical risks, and system-level design decisions Preferred Qualifications M.Tech / B.Tech in Robotics, Controls, Applied Mechanics, or Aerospace 4 + years in applied robotics R&D for ground, aerial, or humanoid systems Deep experience in autonomous robot deployments, research publications, or patents Mastery of control theory, estimation pipelines, and robotic software stack (e.g., ROS2, Drake, Pinocchio)

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