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.
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.
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
