Computer Vision Engineer - Autonomous Systems
Our client, a dynamic innovator in autonomous technology, is seeking a talented Computer Vision Engineer to join their expanding team in **Miami, Florida, US**. This role is pivotal in developing and deploying advanced computer vision algorithms that power next-generation autonomous systems. You will be working on challenging problems involving real-time perception, object detection, tracking, and scene understanding. The ideal candidate will have a strong foundation in computer vision principles, deep learning, and software engineering, with a passion for building robust and scalable solutions. You will collaborate with a talented group of engineers and researchers to push the boundaries of autonomous navigation and interaction.
• Responsibilities:
• Design, implement, and optimize computer vision algorithms for real-time applications in autonomous systems. Develop and train deep learning models for tasks such as object detection, segmentation, tracking, and depth estimation. Work with sensor data (cameras, LiDAR, RADAR) to build robust perception pipelines. Implement and test algorithms on embedded hardware and in simulation environments. Collaborate with robotics and software engineering teams to integrate vision systems into larger platforms. Analyze and debug complex vision system issues. Stay updated on the latest research and advancements in computer vision and deep learning. Contribute to the continuous improvement of our development processes and tools.
• Qualifications:
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. 3+ years of professional experience in computer vision or a related area. Proficiency in C++ and Python. Strong experience with computer vision libraries such as OpenCV. Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of image processing, 3D vision, and geometric methods. Experience with deep learning architectures for vision tasks (CNNs, Transformers). Familiarity with sensor fusion techniques is a plus. Experience with software development best practices, including version control (Git) and testing. Strong problem-solving and debugging skills.
• This position offers a competitive salary, excellent benefits, and the opportunity to work on cutting-edge technology in a growing industry. Our client values innovation, collaboration, and continuous learning.
• Responsibilities:
• Design, implement, and optimize computer vision algorithms for real-time applications in autonomous systems. Develop and train deep learning models for tasks such as object detection, segmentation, tracking, and depth estimation. Work with sensor data (cameras, LiDAR, RADAR) to build robust perception pipelines. Implement and test algorithms on embedded hardware and in simulation environments. Collaborate with robotics and software engineering teams to integrate vision systems into larger platforms. Analyze and debug complex vision system issues. Stay updated on the latest research and advancements in computer vision and deep learning. Contribute to the continuous improvement of our development processes and tools.
• Qualifications:
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. 3+ years of professional experience in computer vision or a related area. Proficiency in C++ and Python. Strong experience with computer vision libraries such as OpenCV. Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of image processing, 3D vision, and geometric methods. Experience with deep learning architectures for vision tasks (CNNs, Transformers). Familiarity with sensor fusion techniques is a plus. Experience with software development best practices, including version control (Git) and testing. Strong problem-solving and debugging skills.
• This position offers a competitive salary, excellent benefits, and the opportunity to work on cutting-edge technology in a growing industry. Our client values innovation, collaboration, and continuous learning.