Job Summary:

The Computer Vision Engineer will develop and deploy vision algorithms that enable humanoid robots to perceive and understand human behaviors in real-world environments. This role focuses on human pose estimation, action recognition, and visual perception to enhance natural human-robot interaction. You will collaborate with cross-functional AI teams to integrate these capabilities into intelligent, assistive humanoid systems.

Position: Computer VisionEngineer
Department: AI application
Location: Gia Lam, Ha Noi
Reports to: Head of AI Application.

Key Responsibilities:

Design, develop, and deploy computer vision algorithms for humanoid robots, including object detection, image segmentation, human pose estimation, action recognition, and object tracking.

• Build deep learning models to enhance robots’ understanding of human motion and behavior with high accuracy and efficiency.
• Work with RGB cameras, depth sensors, and LiDAR to optimize robots’ perception capabilities in complex environments.
• Collaborate with cross-functional teams to integrate AI models into the overall robotic control system.
• Evaluate and optimize model performance in both simulation and real-world environments.

Requirements:

Must Have:

• Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, Computer Vision, Automation, or a related field.
• Proficiency in Python and C++, with experience using TensorFlow or PyTorch.
• Strong understanding of computer vision models such as CNNs, Transformer-based models (e.g., ViT, Swin Transformer).
• Hands-on experience with human pose estimation, keypoint detection, and behavior/action recognition.
• Experience with popular computer vision frameworks and libraries (OpenCV,Detectron2, MMDetection, YOLO, MMPose, OpenPose)
• Experience working with large-scale datasets (e.g., COCO, ImageNet, KITTI, Human3.6M, MPII, AVA) and video data processing.
• Knowledge of model optimization and deployment on embedded systems or edge devices (e.g., NVIDIA Jetson).
  
  

Nice to Have:

• Experience deploying vision-based AI solutions on hardware such as NVIDIA Jetson or Intel RealSense.
• Publications in top-tier AI/Computer Vision conferences (CVPR, ICCV, NeurIPS, ICRA).
• Experience developing computer vision solutions for robotics or autonomous vehicles.

Benefits:

• Competitive salary and benefits package (open to salary negotiations).
• Opportunities for professional development and career growth.
• Flexible work arrangements.
• A collaborative and innovative work environment where ideas are valued and creativity is encouraged.