Job description
Vin. Fast 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, Vin. Fast 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 looking for a highly skilled and motivated Lead AI Engineer (Computer Vision) to join our AI Perception team. In this role, you will lead the design, development, and deployment of state-of-the-art perception systems for real-world applications. You will work with multi-modal sensor data and advanced deep learning models to build robust, high-performance AI solutions, while also mentoring and leading a small team of engineers.
Lead the design, implementation, training, and optimization of deep learning models for perception tasks such as object detection, segmentation, tracking, and classification. Develop and improve multi-sensor fusion algorithms (e.g., camera, LiDAR, ultrasonic sensors, radar) to enhance perception accuracy and robustness.
Own the end-to-end pipeline from data collection, annotation strategy, model training, evaluation, to deployment in production systems. Collaborate closely with software, hardware, robotics, and system engineering teams to integrate AI solutions into real-time products. Perform performance analysis, benchmarking, error analysis, and continuous improvement of perception algorithms.
Lead and mentor a team of 3–5 AI engineers, providing technical guidance, code reviews, and career development support. Contribute to technical roadmap planning, architecture decisions, and best practices for the perception stack.
Requirements
Master’s degree or higher in Computer Science, Robotics, Electrical Engineering, or a related field. At least 5 years of experience at similar position Strong background in computer vision, machine learning, and deep learning. Proficiency in Python and C++, and deep learning frameworks such as Py. Torch, Tensor. Flow, and computer vision libraries like OpenCV.
Proven experience developing and deploying AI models in real-world, production systems. Experience working with large datasets, data pipelines, and model evaluation methodologies. Preferred Solid understanding of 3D geometry, multi-view geometry, sensor fusion, and SLAM. Experience in autonomous systems, robotics, ADAS, or intelligent vehicles.
Knowledge of real-time systems, embedded AI, and edge deployment (e.g., TensorRT, ONNX, CUDA). Experience with MLOps, model optimization, and performance profiling. Strong problem-solving, communication, and leadership skills. Hands-on experience with sensor calibration (intrinsic & extrinsic) for cameras, LiDAR, ultrasonic sensors, or other perception sensors.
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 Ho Chi Minh: No. 25, Riverview 6, Vinhomes Golden River, 02 Ton Duc Thang Street, Ben Nghe Ward, District 1, Ho Chi Minh City In Ha Noi: Technopark Tower, Gia Lam, Ha Noi With respect to all your personal data shared to Vin. Fast in the application and the entire recruitment process of Vin. Fast, by clicking “Apply”, submitting your resumé/CV and/or participating in Vin.
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