Senior Simulation & Synthetic Data Generation Engineer – Self-Driving

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 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 engines, 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 Benefits Competitive salary Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain. With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy ("Policy") posted at https://vinfastauto.com/vn_vi/dieu-khoan-phap-ly or https://vinfast.vn/privacy-policy/, you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection. 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.