Beschreibung

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Firma: VINFAST

UNTERNEHMENS-ID: 14397297
Stellenausschreibungs-URL: https://de.linkedin.com/jobs/view/senior-simulation-synthetic-data-generation-engineer-%E2%80%93-self-driving-at-vinfast-4366434749?position=8&pageNum=13&refId=4vvK1jNmt6IasSA1GGAyoQ%3D%3D&trackingId=qOmLYuiZ5Wzc753IBLRVmw%3D%3D

Karrierestufe

Management

Beschäftigungsverhältnis

Vollzeit

Tätigkeitsbereich

IT

Branchen

Automobil
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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 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

Benefits

Competitive salary

Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain.

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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.