Job Description

About us

Originating from Vietnam, VinFast is committed to the vision of becoming a global smart EV brand. VinFast has laid the foundation for the electric car and motorbike industry in Vietnam while passionately promoting the worldwide EV revolution.

With its Customer-First philosophy, VinFast relentlessly innovates and converges intellectual fundamentals in creating best-in-class products with the most affordable prices and outstanding after-sales services. In addition, VinFast provides everybody with the opportunity to use smart EVs while contributing to the creation of a smart, green, and sustainable future.

Implement algorithms for sensor calibration (intrinsic and extrinsic) across cameras, ultrasonic sensors (USS), and other modalities.
Implement, train, and optimize deep learning models for perception tasks such as object detection, segmentation.
Fuse multi-sensor data to improve perception accuracy and robustness.
Work closely with cross-functional teams (software, hardware, robotics) to integrate AI solutions into real-time systems.
Conduct performance evaluations, benchmarking, and continuous improvements of perception algorithms

Requirements

Bachelor’s or higher degree in Computer Science, Electrical Engineering, Robotics, or related field.
Strong background in computer vision, machine learning, and deep learning.
Hands-on experience with sensor calibration (intrinsic & extrinsic for cameras, USS, LiDAR, or other sensors).
Proficiency in Python and/or C++ with frameworks such as PyTorch, TensorFlow, or OpenCV
Experience developing and deploying AI models in real-world systems.
Solid understanding of 3D geometry, sensor fusion, and multi-view geometry.

Preferred:

Experience working with autonomous systems, robotics, or ADAS (Advanced Driver-Assistance Systems).
Knowledge of real-time processing and embedded AI deployment.
Strong problem-solving and communication skills.

Benefits

Opportunity to work on cutting-edge perception systems with real-world impact.
Collaborative and dynamic work environment.
Professional growth and research opportunities.
Competitive compensation and benefits.

Working Location: Technopark Building, Gia Lam, Ha Noi

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