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Edge Ai Jobs (NOW HIRING)

OVA.Work

Edge AI Engineer

$134K - $177K/yr

Work is seeking an Edge AI Engineer to design, develop, optimize, and deploy artificial intelligence and machine learning models on edge devices. The role focuses on building low-latency, power ...

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 ...

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

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.

Rite-Hite

Systems Architect - Edge AI/ML

Concord, NC · Hybrid

$226K/yr

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 ...

Ambarella

$230K - $265K/yr

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Title: Edge AI Silicon Product Marketing Director ...

Intel

Edge AI Software Product Manager

Phoenix, AZ

The Open Edge Platform includes AI Suites tailored for specific vertical industries such as Manufacturing, Metro, Education, Robotics, Retail, Health and Life Sciences, and Federal and Aerospace ...

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Edge Ai information

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How much do edge ai jobs pay per hour?

As of Jul 7, 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.

More about Edge Ai jobs
What cities are hiring for Edge Ai jobs? Cities with the most Edge Ai job openings:
What states have the most Edge Ai jobs? States with the most job openings for Edge Ai jobs include:
Edge Ai jobs near you
Infographic showing various Edge Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,216 per year, or $20.3 per hour.

Edge AI Engineer

OVA.Work

Remote

$134K - $177K/yr

Full-time

Posted 5 days ago

Job description

Job Summary:
OVA.Work is seeking an Edge AI Engineer to design, develop, optimize, and deploy artificial intelligence and machine learning models on edge devices. The role focuses on building low-latency, power-efficient AI applications for various domains including IoT, robotics, and healthcare.
Responsibilities:
• Design, develop, and deploy AI/ML models for edge devices and embedded systems.
• Optimize deep learning models for low-latency, memory-efficient, and power-efficient inference.
• Convert and deploy models using frameworks such as TensorFlow Lite, ONNX Runtime, TensorRT, and OpenVINO.
• Develop AI applications for computer vision, speech processing, sensor analytics, and real-time decision-making.
• Integrate AI models with embedded hardware, IoT devices, and edge computing platforms.
• Collaborate with hardware engineers, firmware developers, software engineers, and data scientists to deliver end-to-end edge AI solutions.
• Develop and optimize inference pipelines for GPUs, NPUs, TPUs, DSPs, and microcontrollers.
• Perform model benchmarking, profiling, quantization, pruning, and performance tuning.
• Implement secure model deployment, over-the-air (OTA) updates, and device lifecycle management.
• Build APIs and edge services for AI-enabled applications.
• Monitor deployed edge AI systems and continuously improve performance, reliability, and resource utilization.
• Stay current with advancements in edge computing, embedded AI, AI accelerators, and TinyML technologies.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electronics, Embedded Systems, Electrical Engineering, Robotics, or a related field.
• 3–8+ years of experience in AI/ML, embedded systems, edge computing, or software engineering.
• Strong proficiency in Python and C/C++.
• Experience developing and deploying machine learning and deep learning models.
• Knowledge of embedded Linux, real-time operating systems (RTOS), and IoT architectures.
• Experience with model optimization and deployment frameworks.
• Familiarity with computer vision, signal processing, or sensor fusion applications.
• Strong understanding of software engineering principles, debugging, and performance optimization.
Preferred:
• Experience with NVIDIA Jetson, Raspberry Pi, Qualcomm AI platforms, Client Movidius, Google Coral, or similar edge hardware.
• Knowledge of TinyML and microcontroller-based AI deployments.
• Experience with robotics, autonomous systems, or industrial automation.
• Familiarity with MLOps for edge deployments and fleet management.
• Experience with cloud-edge integration and edge orchestration platforms.
• Relevant AI, embedded systems, or cloud certifications.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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