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Edge AI Engineer – CUDA / C++ / Computer Vision

India, Pune · Job Posted June 03, 2026
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Job Description

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
  • 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)
  • 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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