Edge Ai Architect – Cuda / C++ / Computer Vision Job at Codvo AI (Santa Clara)

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.

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
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
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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Edge Ai Architect – Cuda / C++ / Computer Vision

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