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.
· 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
To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.
Skills Required
- Bachelor's, Master's, or PhD in Control Engineering, Automation, Mechatronics, Robotics, Automotive, Aerospace Engineering, Applied Mathematics, or Computer Science
- Mid-level candidates must have 3+ years designing and tuning motion controllers for road vehicles or mobile robots
- Senior candidates must have 5+ years of experience, including series or production development
- Ability to design and tune lateral and longitudinal motion controllers
- Knowledge of PID, state-space design, pole placement, LQR/LQG, and control trade-offs
- Knowledge of observers, Kalman filtering, and digital filter design
- Understanding of stability, robustness, sampling, discretization, time delay, saturation, and anti-windup
- Experience with physical-system modeling, system identification, and measured-data fitting
- Strong C and modern C++ skills, including clean, testable code and real-time debugging
- Python proficiency for data analysis, plotting, and test automation
- Working knowledge of Linux, Git, and CMake
- Experimental mindset and ability to quantify uncertainty and distinguish improvements from noise
- Working proficiency in English and clear technical writing
- Knowledge of vehicle kinematics and basic vehicle dynamics, including bicycle and Ackermann models
- Knowledge of applied mathematics, numerical methods, coordinate transformations, and signal processing
- Experience with trajectory tracking, low-speed control, direction reversals, gear changes, and precise stopping
- Experience with MPC/MPCC, iLQR, DDP, QP solvers, or NLP solvers
- Experience with embedded automotive software, AUTOSAR, RTOS, CAN/CAN-FD, or automotive MCU and SoC targets
- Experience with MATLAB/Simulink and production code generation
- Experience with closed-loop simulation, HIL, CARLA, Gazebo, ROS, or ROS 2
- Knowledge of ISO 26262, ISO 21448 SOTIF, or Automotive SPICE
- Willingness to participate in vehicle testing at test tracks and real parking environments
What We Do
VinFast is a Vietnamese automotive manufacturer focused on electric mobility. The company designs and produces smart electric vehicles, including cars, SUVs, e-buses and e-scooters, combining advanced technology with highly automated manufacturing. Its mission is to make sustainable transportation accessible worldwide and accelerate the transition to an all-electric future through innovative, environmentally friendly products, charging solutions, warranties, and customer services.
