Robotic Engineer - II

Senior Robotics Engineer

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)