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Edge Ai Jobs (NOW HIRING)

Codvo.ai

Edge AI Product Owner - Medical Devices & AI Experience Level: 5-8 Years Department: Product, Data and AI Engineering About the Role: We are seeking a visionary and technically adept Edge AI Product ...

Accenture LLP

SAP Edge - AI Lead

Manhattan, NY · On-site

$73.50 - $96/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work The SAP Edge - AI Lead, is a senior, high-impact role responsible for identifying, embedding, and scaling artificial intelligence capabilities across Accenture SAP EDGE's sales, solution ...

Accenture

SAP Edge - AI Lead

Manhattan, NY · On-site

$73.75 - $96/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work The SAP Edge - AI Lead, is a senior, high-impact role responsible for identifying, embedding, and scaling artificial intelligence capabilities across Accenture SAP EDGE's sales, solution ...

Accenture

SAP Edge - AI Lead

Saint Petersburg, FL · On-site

$150 - $290/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work The SAP Edge - AI Lead, is a senior, high-impact role responsible for identifying, embedding, and scaling artificial intelligence capabilities across Accenture SAP EDGE's sales, solution ...

Accenture

SAP Edge - AI Lead

Manhattan, NY · On-site

$151 - $434/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Work The SAP Edge - AI Lead, is a senior, high-impact role responsible for identifying, embedding, and scaling artificial intelligence capabilities across Accenture SAP EDGE's sales, solution ...

Sonatus

Staff AI Engineer, Edge AI

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

Sonatus

Staff AI Engineer, Edge AI

Sunnyvale, CA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a great Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build ...

Sonatus

Staff AI Engineer, Edge AI

San Francisco, CA · Hybrid

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

Sonatus

Staff AI Engineer, Edge AI

San Jose, CA · Hybrid

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

Sonatus

Staff AI Engineer, Edge AI

Mountain View, CA · Hybrid

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

Codvo.ai

$203K/yr

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 ...

Rite-Hite

Systems Architect - Edge AI/ML

Concord, NC · Hybrid

$226K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures ...

Rite-Hite

Systems Architect - Edge AI/ML

Milwaukee, WI · On-site

$238K/yr

They are seeking a Systems Architect, Edge AI/ML to define and guide the architecture for AI and machine learning solutions deployed on edge platforms, ensuring scalability, reliability, and security.

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Edge Ai information

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How much do edge ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for edge ai in the United States is $20.30, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $24.04 per hour, depending on experience, location, and employer.

What is the difference between Edge Ai vs Data Scientist?

AspectEdge Ai
Required CredentialsTypically a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are common
Work EnvironmentPrimarily involves working with embedded systems, IoT devices, and hardware in diverse locations
Employer & Industry UsageUsed by tech companies, hardware manufacturers, and IoT solution providers focusing on real-time data processing
Common Search & Comparison IntentUnderstanding hardware-focused AI deployment and real-time processing capabilities

Edge Ai specialists focus on deploying AI models directly on hardware devices at the edge, emphasizing real-time processing and hardware integration. Data Scientists, however, primarily analyze data, develop models, and work in cloud or server environments. While both roles involve AI and machine learning, Edge Ai is more hardware-centric, whereas Data Scientists focus on data analysis and model development in software environments.

What is edge AI and how does it work?

Edge AI refers to deploying artificial intelligence algorithms directly on devices at the edge of the network, such as sensors or smartphones, rather than relying on centralized cloud servers. It processes data locally, enabling faster response times, reduced bandwidth use, and improved privacy. Professionals working with edge AI often need skills in embedded systems, machine learning, and hardware integration.
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Edge Ai jobs near you
Infographic showing various Edge Ai job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 76% In-person, 12% Hybrid, and 12% Remote job distribution, with an average salary of $42,216 per year, or $20.3 per hour.

(US) Edge AI Product Owner - Medical Devices & AI

Codvo.ai

California City, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Description: Edge AI Product Owner - Medical Devices & AI
Experience Level: 5-8 Years
Department: Product, Data and AI Engineering
About the Role:
We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a deep understanding of medical device compliance, AI technologies, and product strategy to deliver impactful and regulatory-compliant solutions.
Key Responsibilities:
- Define and drive the product vision, roadmap, and strategy for Edge AI-enabled medical devices.
- Collaborate with cross-functional teams including engineering, clinical, regulatory, and quality to ensure product alignment and compliance.
- Oversee the development and integration of computer vision and video-based AI algorithms into edge devices.
- Ensure adherence to SaMD classification, regulatory frameworks (e.g., FDA, MDR), and quality processes.
- Lead verification and validation planning and execution for Edge AI products.
- Gather and prioritize customer and stakeholder requirements to inform product decisions.
- Communicate product goals, progress, and risks effectively to internal and external stakeholders.
- Support test data validation and performance evaluation of AI models deployed on edge devices.
Required Qualifications:
- Bachelor's or Master's degree in Engineering, Computer Science, Biomedical Engineering, or related field.
- 5-8 years of experience in product management or ownership, preferably in medical devices or healthcare technology.
- Strong understanding of Edge AI systems, including device architecture, model deployment, and performance optimization.
- Experience with computer vision and video-based AI technologies.
- Familiarity with SaMD regulations, ISO 13485, IEC 62304, and related standards.
- Proven track record in managing regulated software products through the full product lifecycle.
- Excellent verbal and written communication skills.
- Experience with agile methodologies and product management tools.
Preferred Skills:
- Experience with surgical AI applications and edge device integration.
- Knowledge of risk management processes (ISO 14971, 510).
- Familiarity with cloud platforms (AWS, Azure) and CI/CD pipelines.
- Understanding of data privacy and cybersecurity standards in healthcare.

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