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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.I
- mplement, 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
- Bachelors 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.
