Computer Vision / AI Co-op

## The Role: D3 Embedded is seeking an enthusiastic and motivated engineering student to join our Computer Vision and AI team. This role provides a hands-on opportunity to work with cutting-edge AI/ML technologies for embedded vision applications. As a Computer Vision/AI Co-Op, you will contribute to the research, development, and deployment of perception solutions, gaining experience in real-world AI applications for embedded systems. ## The Responsibilities: - Assist in the development and optimization of computer vision and AI algorithms for tasks such as object detection, instance segmentation, sensor fusion, and pose estimation. - Implement, test, and deploy machine learning models on embedded and edge platforms. - Work with senior engineers to translate high-level design specifications into functional prototypes. - Develop and optimize software using Python and C++ for real-time AI applications. - Perform model training, evaluation, and fine-tuning using deep learning frameworks like TensorFlow, PyTorch, and ONNX. - Support hardware bring-up and software integration on embedded platforms. - Assist with data collection, preprocessing, and annotation for AI model training. - Participate in code reviews, documentation, and debugging of AI-based applications. - Collaborate with cross-functional teams to integrate AI solutions with existing embedded systems. ## Additional Responsibilities: - Other duties as assigned ## The Right Person Will Have: - Pursuing a bachelor's or master's degree in computer science, Electrical Engineering, Computer Engineering, or a related field. - Strong analytical and problem-solving skills. - Self-motivated with a desire to learn and contribute in a fast-paced engineering environment. - Excellent communication and teamwork skills. - Proficiency in Python and/or C++ for AI and computer vision development. - Experience with at least one deep learning framework (PyTorch, TensorFlow, ONNX, OpenCV). - Basic understanding of machine learning, deep learning, and computer vision concepts. - Familiarity with embedded software development and Linux-based systems. - Knowledge of model optimization techniques for deployment on resource-constrained platforms (e.g., quantization, pruning, TensorRT, OpenVINO). - Ability to analyze and debug AI models and embedded implementations. - Familiarity with version control tools like Git. - Experience with any of the following is a plus: CUDA, OpenGL, or OpenCL for GPU acceleration, ROS (Robot Operating System), Edge AI hardware such as NVIDIA Jetson, Google Coral, or Intel Movidius.