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 a highly skilled Experts, Seniors, Engineers to join our self-driving team. In this role, you will design, develop, and deploy advanced algorithms that enable autonomous vehicles to accurately sense, interpret, and interact with the world around them. You will work on cutting-edge challenges in 3D object and occupancy detection, tracking, sensor fusion, scene understanding, and foundation models for self-driving, with direct impact on the safety and performance of our autonomous systems. This is an opportunity to contribute at the intersection of deep learning, computer vision, robotics, and system engineering, while collaborating with a world-class team of researchers and engineers.
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Develop, prototype, and optimize algorithms for 3D object
and occupancy
detection, multi-object tracking, semantic segmentation, and
3D
scene understanding using multi-sensor data (camera, LiDAR, radar, etc.)
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Design and adapt foundation models for self-driving
perception
, enabling scalable, generalizable representations across tasks and sensor modalities
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Build and improve multi-sensor fusion pipelines to enhance robustness under diverse and challenging driving scenarios
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Research, adapt, and implement
state-of-the-art
methods in machine learning and computer vision (e.g. BEV perception, occupancy networks, multimodal fusion
, end-to-end models
)
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Translate research insights into production-ready solutions, ensuring scalability, robustness, and efficiency
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Optimize
deep learning models for real-time inference on automotive-grade hardware
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Design and execute evaluation, benchmarking, and validation of
perception
models across real-world datasets and simulation environments
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Collaborate closely with cross-functional teams to integrate
perception
mod
e
ls into the full self-driving stack
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Contribute to data curation, annotation strategies, and scalable training pipelines to accelerate
perception
development
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Drive
engineering excellence by writing high-quality, efficient, and well-tested code
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Stay current with latest advances in computer vision, deep learning, robotics, and foundation models, and contribute to publications and patents when possible
