Role Overview
We are seeking a Control Systems Engineer with 4–6 years of experience in mobile robots, EV platforms, or autonomous mobility systems (UGV/ UAV). Candidates should hold a Master’s degree in Control Systems, Signal Processing, Robotics, Mechatronics, or related fields, with strong skills in C++, ROS/ROS2, ros2_control, Nav2, motor control (FOC), and robot dynamics.
The role involves developing and optimizing control algorithms for differential-drive, skid-steer, tracked, or Ackermann UGVs, integrating autonomy modules, and collaborating across hardware, perception, and embedded teams.
Key Responsibilities
1. Vehicle Control & Motion Systems
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Develop and tune control algorithms (PID, MPC, feedforward).
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Integrate and calibrate FOC-based motor controllers (BLDC/PMSM/Hub).
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Build and validate vehicle dynamics and actuator models.
2. ROS/ROS2 & Autonomy Integration
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Develop ROS 2 control nodes in C++.
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Implement controllers using ros2_control (DiffDrive, Ackermann, manipulators).
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Configure and tune Nav2 (planners, controllers, costmaps, BTs).
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Own bring-up, launch flows, and integration with perception/localization.
3. Manipulator & Actuation Control
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Implement kinematics, Jacobians, and trajectory execution.
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Develop joint-level control and safety interlocks.
4. EV Vehicle Control Unit (VCU)
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Implement torque control, throttle mapping, regen braking, and diagnostics.
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Work with CAN, RS485 and integrate BMS, motor drivers, and VCUs.
5. Modelling, Simulation & Testing
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Develop models using MATLAB/Simulink or Python.
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Validate in Gazebo/Ignition simulation environments.
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Perform HIL/SIL, real-world testing, tuning, and calibration.
6. Cross-functional Collaboration
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Work with mechanical, electrical, autonomy, and embedded teams.
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Contribute to safety reviews, FMEA, and requirement discussions.
Required Qualifications
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Master’s degree in relevant engineering field.
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3–4 years experience in control systems for robots/EVs/Flight Controls.
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Strong C++ (OOD, real-time constraints).
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Hands-on ROS 2, ros2_control, TF, URDF/Xacro.
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Experience with Nav2 setup/tuning.
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Proficiency in FOC, BLDC/PMSM control, motor modelling.
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Knowledge of vehicle dynamics, state estimation, sensor fusion.
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Experience with CAN/RS485, integration of VCU, BMS, and motor controllers.
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Localization algorithms (EKF, UKF, Visual SLAM).
Preferred Qualifications
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Manipulator control (MoveIt/MoveIt2).
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Real-time systems or embedded MCU experience.
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Exposure to EV HV/LV architecture and functional safety.
Soft Skills
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Strong analytical and mathematical skills.
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Good documentation and system design discipline.
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Ability to work in fast-paced R&D environments.
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Team-oriented with strong cross-functional communication.
