Senior Simulation

vor 16 Stunden

Frankfurt am Main, Hessen, Deutschland VINFAST Vollzeit 80.000 € - 120.000 € pro Jahr

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.

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