Senior Simulation & Synthetic Data Generation Engineer – Self-Driving
VinFastAbout the role
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
Requirements
- MSc/PhD in Computer Sci
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