Edge AI Engineer

About the job

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. • 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 and cybersecurity standards in healthcare). • Experience with cloud-edge integration and CI/CD pipelines for AI deployment.

Requirements

• CUDA
• C++
• Computer Vision

Qualifications

• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related field

Preferred Technologies

• CUDA
• C++
• Computer Vision