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We are looking for a highly motivated and technically proficient Edge AI Engineer with a strong background in Edge AI devices, computer vision algorithms, and AI model deployment in the MedTech domain. This role is pivotal in developing and optimizing AI-powered medical devices that operate at the edge, ensuring performance, reliability, and compliance with healthcare standards.
Job Responsibility
Design, develop, and optimize AI models for deployment on Edge AI devices in medical applications
Implement and evaluate computer vision algorithms for real-time video and image analysis
Collaborate with cross-functional teams to integrate AI solutions into embedded systems and medical devices
Ensure compliance with SaMD classification, regulatory standards, and quality processes
Document design specifications, test protocols, and validation reports in accordance with regulatory requirements
Communicate technical findings and project updates effectively to stakeholders
Requirements
Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related field
5–8 years of experience in AI engineering, preferably in medical devices or healthcare technology
Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel Movidius)
Strong experience in CUDA, C++ writing drivers with contract manufactured Edge AI devices with custom GPU configuration
Proficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools