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.

Synthetic data and simulation are critical to scaling
self-driving
technology. In this role, you will research, develop, and deploy
state-of-the-art
techniques in computer graphics, computer vision, and machine learning to generate high-quality data for training and
validating
the
self-driving
stack. You will help shape the future of synthetic data
generation
pipelines and simulation frameworks, enabling new sensing model capabilities and accelerating development of safe autonomous vehicles.

• 
  Design and implement generative AI–driven pipelines for synthetic data generation, including 3D scenes, sensor simulation, and realistic traffic scenarios

• 
  Develop synthetic datasets to train and
  validate
  perception
  and sensing ML models, ensuring diversity and realism across scenarios

• 
  Collaborate with
  perception
  ,
  prediction,
  mapping
  and
  planning
  teams to integrate synthetic data into model training and evaluation workflows

• 
  Research and apply advanced methods in computer vision, computer graphics, and generative modeling (e.g., diffusion models,
  NeRF
  , Gaussian splatting)

• 
  Benchmark and
  validate
  synthetic data against real-world distributions, ensuring effectiveness in closing domain gaps

• 
  Build scalable infrastructure for large-scale synthetic data generation and management

• 
  Work closely with
  other
  engineering and research
  experts
  to align synthetic data strategy with broader ML and autonomy goals

• 
  Look for high-impact findings and propose improvements to synthetic data pipelines that unlock new model capabilities

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

• 
  Strong background in computer vision, computer graphics, or machine learning

• 
  Experience developing ML pipelines that incorporate synthetic or simulated data

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

• 
  Familiarity with 3D graphics frameworks, game engine
  s
  , or robotics simulators (e.g., CARLA, Gazebo)

• 
  Knowledge of generative modeling techniques (e.g., diffusion models,
  GAN,
  NeRF
  , Gaussian
  splatting
  etc.
  )

• 
  Experience with large-scale data pipelines, distributed training, and evaluation frameworks

• 
  Strong problem-solving skills, creativity, and ability to work across cross-functional teams