VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotiveindustry 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 andmore sustainable future through innovation, technology, and excellence.We are looking for a Senior Motion Planning Engineer to design and implement the core algorithms that enable autonomous vehicles to make safe, efficient, and human-like driving decisions in dynamic and uncertain environments. In this role, you will work at the intersection of decision-making, trajectory generation, and control, collaborating closely withperception, prediction,map generationand controls teams to build a reliable, real-time motion planning system for self-driving.
- 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 applystate-of-the-artplanning methods, including optimization-based approaches, probabilistic decision-making, reinforcement learning, and imitation learning
- Integrateperception, 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
Requirements
- 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 searchetc.)
- Experience with reinforcement learning, imitation learning, or deep learning approaches for planning and control
- Proficiencyin Python and C++, with familiarity in ML frameworks such asPyTorchor 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 CARLAor 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
- Nice to have: Prior experience in self-driving or ADAS development and familiaritywith functional safety standards (ISO 26262, SOTIF)
Benefits
- Competitive salary
- Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain.
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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.
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.