Computer Vision / Perception Engineer (Senior/Expert)

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.

Join our ADAS/Monitoring System team as a Computer Vision / Perception Engineer. In this role, you will contribute to the development of advanced perception capabilities for smart vehicles. Your work will focus on SLAM and multi-sensor fusion, precise sensor calibration, developing advanced deep learning–based perception models, and end-to-end validation through SIL/HIL and real-vehicle testing.

Key Responsibilities

• Design, develop, and optimize SLAM and multi-sensor fusion algorithms using data from cameras, IMU, radar, ultrasonic sensors, and other onboard sensors.
  

• Develop and maintain sensor calibration pipelines, including camera intrinsics/extrinsic and cross-sensor calibration.
  

• Develop, train, and improve advanced deep learning models for perception of motion planning.
  

• Integrate perception, fusion, and calibration algorithms into embedded automotive and ADAS platforms.
  

• Perform system integration and validation through Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and real-vehicle testing.
  

• Analyze test results, identify failure modes, and continuously improve accuracy, robustness, and real-time performance.
  

• Collaborate with software, hardware, and vehicle integration teams to deliver production-ready ADAS solutions.

Requirements

• Diploma or bachelor's degree in Mechatronics, Robotics, Automation Engineering, Computer Science, or a closely related field.
  

• From 7 years hands-on experience in R&D and/or production projects within automotive, robotics, or autonomous systems.
  

• Strong programming skills in C++ and Python.
  

• Practical experience with computer vision and linear algebra libraries such as OpenCV and Eigen.
  

• Fundamental understanding of sensor-based systems and real-world deployment considerations.
  

Preferred Qualifications

• Experience or strong knowledge in SLAM, 3D reconstruction, localization, and multi-sensor fusion algorithms.
  

• Hands-on experience with sensor calibration methods, including camera intrinsics/extrinsic and cross-sensor calibration.
  

• Exposure deep learning models for perception, including training, optimization, or deployment.
  

• Experience with SIL/HIL testing frameworks, simulation environments, and validation of real vehicles.
  

• Knowledge of robotics fundamentals, coordinate transformations, vehicle kinematics, and vehicle modeling or simulation.
  

• Strong problem-solving skills and the ability to apply theoretical concepts to practical, production-level systems.
  

• Ability to work effectively both independently and within cross-functional, collaborative teams.
  

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