Mô tả công việc
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.
We are seeking an AI Engineer specializing in 3D Reconstruction and Neural Rendering to build high‑fidelity digital twins of real‑world driving environments. You will develop state‑of‑the‑art solutions leveraging Gaussian Splatting, NeRFs, foundation/world models, and generative reconstruction technologies such as NVIDIA Cosmos and NuRec to reconstruct, render, and simulate realistic driving scenes from large‑scale sensor data.
The resulting digital environments will enable simulation, synthetic‑data generation, perception development, and closed‑loop testing for autonomous‑driving systems.
Key Responsibilities
- Develop scalable 3D/4D reconstruction and neural‑rendering pipelines from multi‑camera, LiDAR, and multimodal driving data.
- Research and apply 3D Gaussian Splatting, NeRFs, neural rendering, and generative reconstruction/world‑model approaches to create photorealistic driving environments.
- Explore technologies such as NVIDIA Cosmos, NuRec, and related foundation models for reconstruction, world generation, and simulation.
- Build static and dynamic digital twins, including roads, infrastructure, vehicles, pedestrians, vegetation, and other scene elements.
- Develop methods for dynamic‑object reconstruction, novel‑view synthesis, scene editing, and controllable scenario generation.
- Generate synthetic and augmented driving datasets for perception training and challenging/long‑tail scenario generation.
- Collaborate with perception, simulation, data, and infrastructure teams to integrate digital‑twin technology into the autonomous‑driving development pipeline.
Requirements
- BS/MS/PhD in Computer Science, AI, Robotics, Computer Graphics, or related field.
- At least 3 years of experience in similar positions.
- Strong expertise in Computer Vision, 3D Vision, Computer Graphics, or Deep Learning.
- Hands‑on experience with 3D Gaussian Splatting, NeRFs, neural rendering, or 3D reconstruction.
- Strong understanding of camera geometry, multi‑view geometry, SLAM/SfM, depth estimation, and 3D representations.
- Experience with Python, PyTorch, CUDA/GPU computing, and modern 3D/graphics frameworks.
- Experience processing large‑scale image, video, point‑cloud, or multimodal datasets.
- Preferred: Experience with autonomous driving/ADAS, NVIDIA Cosmos/NuRec, world models, generative video models, dynamic 4D reconstruction, LiDAR‑camera fusion, differentiable rendering, OpenUSD, simulation platforms, synthetic‑data generation, or real‑time rendering.
Benefits
- Opportunity to work on cutting‑edge perception systems with real‑world impact.
- A collaborative, fast‑paced, and innovation‑driven environment.
- Clear career growth path, leadership opportunities, and support for research and learning. Competitive salary.
- Premium healthcare package, including PVI insurance & annual health check‑ups.
- 13th‑month salary & performance bonuses to reward your contributions.
- Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool.
Work Location:
- In Ha Noi: Technopark Tower, Gia Lam, Ha Noi
- In Ho Chi Minh: Vinhomes Golden River, Ho Chi Minh City, Vietnam
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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.