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VinFast USPosted 6 months ago
EXPIRED

Computer Vision Expert/Team Leader

On-siteHanoi, Hanoi, Vietnam or Ha Noi, Ninh Binh, Socialist Republic of Vietnam

Full TimeMasters DegreeLarge

Job Summary

Lead the design, implementation, training, and optimization of deep learning models for perception tasks including object detection, segmentation, tracking, and classification. Develop multi-sensor fusion algorithms using camera, LiDAR, ultrasonic, and radar data to enhance accuracy. Own the end-to-end pipeline from data collection and annotation strategy through model evaluation and production deployment. Collaborate with software, hardware, and robotics teams to integrate AI solutions into real-time products while performing performance analysis and error benchmarking. Lead and mentor a team of 3–5 engineers through technical guidance, code reviews, and career development. Contribute to technical roadmap planning and architecture decisions for the perception stack.

Required Qualifications

  • Master's degree or higher in Computer Science, Robotics, Electrical Engineering, or a related field
  • At least 5 years of experience at similar position
  • Strong background in computer vision, machine learning, and deep learning
  • Proficiency in Python and C++, and deep learning frameworks such as PyTorch, TensorFlow, and computer vision libraries like OpenCV
  • Proven experience developing and deploying AI models in real-world, production systems
  • Experience working with large datasets, data pipelines, and model evaluation methodologies
  • Lead and mentor a team of 3–5 AI engineers, providing technical guidance, code reviews, and career development support
  • Contribute to technical roadmap planning, architecture decisions, and best practices for the perception stack
  • Must be able to lift 50 lbs

Desired Qualifications

  • Solid understanding of 3D geometry, multi-view geometry, sensor fusion, and SLAM
  • Experience in autonomous systems, robotics, ADAS, or intelligent vehicles
  • Knowledge of real-time systems, embedded AI, and edge deployment (e.g., TensorRT, ONNX, CUDA)
  • Experience with MLOps, model optimization, and performance profiling
  • Strong problem-solving, communication, and leadership skills
  • Hands-on experience with sensor calibration (intrinsic & extrinsic) for cameras, LiDAR, ultrasonic sensors, or other perception sensors

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