Sensor Fusion 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.We are seeking a highly skilled Experts, Senior s, 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. 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.) Design and adapt foundation models for self-driving perception , enabling scalable, generalizable representations across tasks and sensor modalities Build and improve multi-sensor fusion pipelines to enhance robustness under diverse and challenging driving scenarios 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 ) Translate research insights into production-ready solutions, ensuring scalability, robustness, and efficiency Optimize deep learning models for real-time inference on automotive-grade hardware Design and execute evaluation, benchmarking, and validation of perception models across real-world datasets and simulation environments Collaborate closely with cross-functional teams to integrate perception mod e ls into the full self-driving stack Contribute to data curation, annotation strategies, and scalable training pipelines to accelerate perception development Drive engineering excellence by writing high-quality, efficient, and well-tested code Stay current with latest advances in computer vision, deep learning, robotics, and foundation models, and contribute to publications and patents when possible Requirements MSc/PhD in Computer Science, Electrical Engineering, Robotics, or a related field, with 3+ years of relevant industry experience Proficiency in Python and /or C++, with experience in ML frameworks such as PyTorch or TensorFlow Hands-on experience with motion prediction models (Transformers, LSTM, GNN etc. ) Experience with d evelopment of fusion models Specify what sensory signals that need to be captured during data acquisition process Integration of other modules in the perception stack Creating a visualizer to visualize the information in and out of fusion Create benchmarks for object fusion and lane fusion Perform Software-in-the-loop test with simulation tool Align the signal interface with other teams Experience with solving software problems using geometry and linear algebra Knowledge of multi-sensor calibration and fusion techniques Strong software engineering skills with emphasis on scalability, reliability, and performance optimization Nice-to-Have Experience with autonomous driving or ADAS perception systems Background in SLAM, 3D reconstruction, occupancy networks , or sensor simulation Track record of publications in top-tier conferences Benefits 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... Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain Work Location: In Ha Noi: Technopark Tower, Gia Lam, Ha Noi In Ho Chi Minh: No. 25, Riverview 6, Vinhomes Golden River, 02 Ton Duc Thang Street, Ben Nghe Ward, District 1, Ho Chi Minh City 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. 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