Expert Map Generation 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 looking for a Senior Map Generation Engineer to advance our online and offline mapping and localization capabilities for self-driving vehicles. In this role, you will design, develop, and deploy algorithms that dynamically generate, update, and maintain high-quality maps directly from multi-sensor data. Your work will ensure our autonomous vehicles navigate safely and reliably using generated maps, enabling robust performance in dynamic, real-world environments.

• Develop and optimize mapping algorithms that fuse data from LiDAR, radar, cameras, and GNSS/IMU to generate semantic, geometric, and topological maps
• Collaborate with perception , prediction, and planning teams to integrate mapping outputs into the full autonomy stack
• Research and apply state-of-the-art techniques in deep SLAM, neural implicit representation to support map generation
• Design and implement large-scale map generation workflows, leveraging both real-world and simulated datasets
• Optimize models and algorithms for deployment on automotive embedded platforms with real-time performance constraints
• Work with validation and simulation teams to validate mapping and localization algorithms at scale
• Drive engineering excellence by ensuring high-quality, modular, and tested code
• Contribute to the research community through publications or open-source contributions in mapping and localization for autonomous driving

Requirements

• MSc/PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field and 5+ years of industry experience
• Strong background in localization, mapping, and SLAM (visual, LiDAR, or multi-sensor)
• Experience with deep learning–based approaches for mapping and localization (e.g., neural SLAM, implicit representations, deep visual odometry)
• Proficiency in Python and C++, with hands-on experience in ML frameworks such as PyTorch or TensorFlow
• Familiarity with 3D computer vision, geometric deep learning, and multi-sensor calibration
• Familiarity with probabilistic state estimation (Kalman filters, particle filters , graph optimization )
• Track record of bringing research concepts into production-ready solutions
• Strong problem-solving skills and ability to deliver robust algorithms under real-world conditions
• Nice to have: Experience in ADAS or autonomous driving localization/mapping systems

Benefits

• Competitive salary
• Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain.

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