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Full Time Ai Image Jobs (NOW HIRING)

Codvo.ai

$203K/yr

Implement and evaluate computer vision algorithms for real-time video and image analysis ... Employment Type: FULL_TIME

United Sports Brands

Designer, Graphic

Costa Mesa, CA · On-site

$74K - $82K/yr

POSITION SPECIFICS: * This is a full-time position * Typical work hours and days are Monday ... Hands-on experience with AI image generation and editing models, and working knowledge of AI ...

Gamma

AI Engineer

San Francisco, CA · On-site

Own Gamma's LLM and image prompts, measuring and continuously improving quality at scale across ... The base salary for this full-time position, which spans multiple internal levels depending on ...

OpenArt

Creator Community Lead

San Francisco, CA · On-site

$200K - $250K/yr

Bay Area, California - Onsite Capacity: Full-time TL;DR - OpenArt is hiring a Creator Community ... Have strong familiarity with Gen AI image and video tools, models, and workflows * Understand UGC ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

... a full time academic or research career. The Sanders Laboratory in the Department of Neurology ... AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 ...

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As of Sep 8, 2026, the average hourly pay for full time ai image in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.

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

Codvo.ai

On-site

$203K/yr

Full-time

Re-posted 13 days ago

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.

Employment Type: FULL_TIME

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