Edge AI Engineer – CUDA

3 weeks ago

Pune, India Codvo.ai Full time

Job Description: Edge AI Engineer – CUDA / C++ / Computer Vision Experience Level: 8+ Years Department: Edge AI & Embedded Systems About the Role: 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. Key Responsibilities: •            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. Required Qualifications: •            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). •            Proficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools. •            AI/ML Acumen (Crucial) Required: Strong LLM, RAG, agentic architecture understanding •            Understanding of SaMD regulations, ISO 13485, IEC 62304, and related standards. •            Experience with embedded systems development and real-time processing. •            Excellent verbal and written communication skills. Nice to Have: •            Experience testing or developing AI systems for surgical applications. •            Familiarity with test data validation for computer vision and video-based AI models. •            Knowledge of risk management processes (ISO 14971) and cybersecurity standards in healthcare. •            Experience with cloud-edge integration and CI/CD pipelines for AI deployment.

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