Vehicle Motion Control Engineer (Junior/Senior)

VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive industry with sustainable and innovative mobility solutions. As a leading player in the EV market, VinFast is dedicated to delivering high-quality, cutting-edge electric vehicles that redefine the driving experience. Our team consists of passionate professionals driven by a shared vision of creating a greener and more sustainable future through innovation, technology, and excellence.

In this role, you will join the Motion Planning & Control team that owns the vehicle motion control software behind VinFast’s L2+ driver-assistance and Automated Parking functions. You will design, implement and calibrate the lateral and longitudinal controllers that turn a planned trajectory into steering, torque and brake requests, running in production C/C++ on embedded automotive hardware.

Control design and development

· Design, implement and tune the lateral (steering) control for automated parking and low-speed manoeuvring, from control concept through to production code.

· Design and tune the longitudinal control : speed profile following, stopping accuracy, smooth start and stop, and ride comfort.

· Develop the trajectory tracking behaviour — how the vehicle follows a planned path, including direction changes, gear shifts and the end of each manoeuvre.

· Build and validate the vehicle and actuator models used for control design, and quantify how well they match the real car.

· Define and maintain the interfaces between control and its neighbours: motion planning, vehicle state estimation, and the steering, powertrain and brake actuators.

Requirements

Education and experience

· Bachelor’s, Master’s or PhD in Control Engineering, Automation, Mechatronics, Robotics, Automotive or Aerospace Engineering, Applied Mathematics or Computer Science.

· All experience levels are welcome. Fresh graduates are considered, but must be able to show substantial hands-on control work done at university — a research lab, a thesis, a student competition team (Formula Student / Formula Student Driverless, RoboCon, autonomous vehicle or robot contests), an industrial internship, or a serious personal project on real hardware or in a credible simulation — and to walk through the control design, the tuning and the measurements behind it.

· Mid-level: 3+ years designing and tuning motion controllers for road vehicles or mobile robots. Senior: 5+ years including series/production development, able to own a control feature end to end and to mentor other engineers.

Control engineering fundamentals – required

· Classical and modern control — PID, state-space design, pole placement, LQR/LQG, and a clear understanding of the trade-offs between them.

· State estimation and filtering — observers, Kalman filtering, and practical digital filter design.

· Analysis — stability, robustness and performance in continuous and discrete time; sampling and discretisation, time delay, saturation and anti-windup.

· Modelling and system identification — build a model of a physical system, fit it to measured data, and know where it stops being valid.

· Vehicle kinematics and basic vehicle dynamics — bicycle and Ackermann models, steering behaviour, and how low-speed and reverse driving differ from normal driving.

· Applied mathematics — linear algebra, numerical methods, coordinate frames and transformations, and signal processing.

Engineering skills – required

· Strong C and modern C++ (C++11/14/17), clean and testable code, and confidence debugging real-time software.

· Python for data analysis, plotting and test automation; Linux, Git and CMake.

· An experimental mindset — define the measurement before the conclusion, quantify uncertainty, and tell a real improvement from noise.

· Working proficiency in English and clear technical writing.

Topics specific to this role – advantageous, or willing to learn quickly

· Path- and trajectory-tracking control at low speed: preview and look-ahead schemes, feedforward plus feedback steering, curvature-to-steering mapping, and steering angle and rate limiting.

· Handling of direction reversals and gear changes inside a controller, and precise stopping and standstill behaviour.

· Actuator characterisation and delay compensation for electric power steering and for powertrain torque and brake interfaces.

· Optimisation-based control: MPC/MPCC, iLQR or DDP, and practical use of QP/NLP solvers.

· Real-time embedded automotive software: fixed-cycle execution, allocation-free control loops, automotive MCU and SoC targets, AUTOSAR, RTOS, CAN/CAN-FD.

· Model-based design with MATLAB/Simulink and production code generation.

· Closed-loop simulation and HIL benches; simulators such as CARLA or Gazebo; ROS/ROS 2.

· Functional safety (ISO 26262), SOTIF (ISO 21448) and Automotive SPICE.

· Parking-domain sensing and its effect on control: ultrasonic sensors, surround-view cameras, slot detection, odometry and occupancy grids.

Other

• Willingness to take part in vehicle testing at the test track and in real parking environments.

Benefits

• Opportunity to work on cutting-edge perception systems with real-world impact.
• A collaborative, fast-paced, and innovation-driven environment.
• Clear career growth path, leadership opportunities, and support for research and learning. Competitive salary
• Premium healthcare package, including PVI insurance & annual health check-ups
• 13th-month salary & performance bonuses to reward your contributions
• Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool...

• In Ha Noi: Technopark Tower, Gia Lam, Ha Noi