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.

We are
seeking
a highly skilled
Experts,
Senior
s, Engineers
to join our self-driving team. In this role, you will design, develop, and deploy advanced algorithms that enable autonomous vehicles to accurately sense, interpret, and interact with the world around them. You will work on
cutting-edge
challenges in 3D
object and occupancy
detection, tracking, sensor fusion, scene understanding, and foundation models for self-driving, with direct impact on the safety and performance of our autonomous systems.
This is an opportunity to contribute at the intersection of deep learning, computer vision, robotics, and system engineering, while collaborating with a world-class team of researchers and engineers.

• 
  Design, develop, and optimize motion planning algorithms that handle complex, interactive traffic scenarios

• 
  Formulate and implement trajectory generation methods that balance safety, comfort, and efficiency under real-world driving conditions

• 
  Research and apply
  state-of-the-art
  planning methods, including optimization-based approaches, probabilistic decision-making, reinforcement learning, and imitation learning

• 
  Integrate
  perception
  , prediction, and mapping outputs into planning pipelines for robust decision-making

• 
  Ensure real-time performance of planning algorithms on automotive-grade embedded hardware

• 
  Contribute to the development of closed-loop validation pipelines, including simulation, software-in-the-loop, hardware-in-the-loop, and on-road vehicle testing

• 
  Collaborate with multidisciplinary teams (
  perception
  ,
  prediction,
  map generation,
  controls, systems) to integrate planning algorithms into the self-driving autonomy stack

• 
  Stay current with advances in motion planning, decision-making, and learning-based approaches for autonomous driving

• 
  Drive
  engineering excellence by writing clean, efficient, and well-tested code

• 
  MSc/PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field with 5+ years of relevant industry experience

• 
  Strong background in motion planning, trajectory optimization, and decision-making methods (e.g., A*, optimization-based planning, graph search
  etc.
  )

• 
  Experience with reinforcement learning, imitation learning, or deep learning approaches for planning and control

• 
  Proficiency
  in Python and C++, with familiarity in ML frameworks such as
  PyTorch
  or TensorFlow

• 
  Solid understanding of vehicle dynamics, kinematics, and control theory

• 
  Hands-on experience with real-time systems, performance optimization, and deployment on embedded automotive hardware

• 
  Skilled in simulation-based development and validation using tools such as CARLA
  or MATLAB/Simulink

• 
  Strong mathematical foundation in optimization, linear algebra, probability, and statistics

• 
  Excellent problem-solving skills and ability to work in fast-paced, collaborative environments