Job Description : Edge AI Architect - CUDA / C++ / Computer Vision
Experience Level : 10+ 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.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 configurationProficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools.AI / ML Acumen (Crucial) Required : Strong LLM, RAG, agentic architecture understandingUnderstanding 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.