(US) Edge AI Architect– CUDA / C++ / Computer Vision

codvo-team; Santa Clara (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

codvo-team is seeking an Edge AI Architect to lead design and deployment of AI models on edge devices for medical applications. The role focuses on real-time computer vision, integration with embedded systems, and ensuring SaMD regulatory alignment.

The ideal candidate has 10+ years in AI engineering, hands-on CUDA/C++ experience, and familiarity with OpenCV, TensorFlow, and PyTorch across edge hardware such as NVIDIA Jetson. Remote work is unlikely in this on-site Santa Clara role.

Qualifications

• 8+ years of AI engineering experience, preferably in medical devices or healthcare tech.

Responsibilities

• Design, develop, and optimize AI models for edge 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 into embedded medical devices.
• Ensure SaMD compliance with regulatory standards and quality processes.
• Document design specs, test protocols, and validation reports per regulatory requirements.
• Communicate technical findings and project updates to stakeholders.

Skills

Edge AI

CUDA

C++

OpenCV

TensorFlow

PyTorch

Education

Bachelor’s or Master’s in an engineering field

Tools

NVIDIA Jetson

Google Coral

Intel Movidius

OpenCV

TensorFlow

PyTorch

Job description

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 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.