Edge AI Principal Engineer

3 hours ago

Pune, Maharashtra, India Codvo Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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