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Job Description: As a Vision AI Engineer, you will play a crucial role in designing, developing, and deploying advanced computer vision solutions. You will collaborate with cross-functional teams, including researchers, architects, and engineers, to address challenging problems in Vision AI. Your expertise will contribute to the development of innovative applications across various domains, such as autonomous vehicles, robotics, augmented reality, and more.
Key Responsibilities:
• Research and Development: Conduct research and stay updated on the latest advancements in computer vision and Vision AI technologies. Apply this knowledge to develop innovative solutions.
• Design and Architecture: Lead the design and architecture of computer vision systems, leveraging LiDAR-based vision and other relevant technologies.
• Object Detection and Recognition: Develop and optimize algorithms for object detection, recognition, and classification in complex environments.
• Action/Event Recognition: Implement systems that can identify and interpret human actions, events, and activities through computer vision techniques.
• Pose Estimation: Design models for accurate pose estimation, enabling applications such as gesture recognition and motion analysis.
• Segmentation: Create and refine models for image and video segmentation, enabling precise object and scene analysis.
• Multi-Camera Tracking: Develop algorithms for real-time tracking of objects across multiple camera feeds.
• Depth Synthesis: Work on depth estimation and synthesis, using various techniques, including LiDAR and stereo vision, to enhance spatial understanding.
• Model Optimization: Optimize deep learning models for deployment on edge devices, ensuring efficient and real-time processing.
• Real-Time Processing: Ensure that all computer vision solutions operate in real-time, meeting performance and latency requirements.
Qualifications:
• Educational Background: Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
• Experience: Proven experience in Vision AI, computer vision, or LiDAR-based computer vision, with a focus on solving complex problems in this domain.
• Technical Skills:
• Proficiency in programming languages such as Python, C++, or similar.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or similar.
• Familiarity with LiDAR technologies and related data processing techniques.
• Strong mathematical and analytical skills, particularly in linear algebra, probability, and statistics.
• Soft Skills:
• Excellent problem-solving abilities and attention to detail.
• Strong communication skills to work effectively with cross-functional teams.
• Ability to work independently and manage multiple tasks and projects.
Preferred Qualifications:
• Experience with deploying Vision AI models on edge devices.
• Publications or patents in the field of Vision AI or computer vision.