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.

• 
  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