Senior Simulation

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.

Requirements

• 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.