Senior Data Engineer/ Data Scientist – 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, 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. Design and implement data lakes as a flexible and scalable storage of sensor data Build scalable pipelines for indexing raw and extracted sensor data Develop searchable databases for efficient information retrieval Implement robust ETL pipelines to extract, transform, and load data into a structured data warehouse Establish automated systems for data validation and quality assurance for large multi-modal datasets Build tools for indexing and version control of extracted sensor data Integrate labeling workflows into a data loop (semi-automatic, active learning, crowdsourcing etc.) Collaborate with algorithm and software engineering teams to ensure data integrity, traceability, and reproducibility

Requirements MSc/BSc degree with 3+ years of industrial experience in Computer Science, Machine Learning, Robotics and/or similar technical field Proficiency in Python and strong software engineering skills Comfortable in building data processing pipelines tailored for ML training pipelines Knowledge of (at least one) of the Parquet, Pandas, Spark frameworks Solid understanding of the main sensor modalities for self-driving (cameras, LiDAR, radar, GPS) Experience with establishing dataset version control Familiarity with cloud job orchestration, monitoring, and instrumentation best-practices Ability to solve hard problems and handle large amounts of heterogeneous data Nice-to-Have: Prior experience in self-driving or ADAS development and familiarity with functional safety standards (ISO 26262, SOTIF)

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. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.