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 ...
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 ...
$203K/yr
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 ...
$203K/yr
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 ...
(US) Edge AI Architect- CUDA / C++ / Computer Vision
Santa Clara, CA · On-site
$203K/yr
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 ...
(US) Edge AI Architect- CUDA / C++ / Computer Vision
Santa Clara, CA · On-site
$203K/yr
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 ...
Edge AI/Model Optimization Engineer
Aberdeen, MD · On-site
$123K - $147K/yr
NextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within ...
Edge AI/Model Optimization Engineer
Aberdeen, MD · On-site
$123K - $147K/yr
NextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within ...
Edge AI/Model Optimization Engineer
$123K - $147K/yr
NextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within ...
Edge AI/Model Optimization Engineer
$123K - $147K/yr
NextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within ...
Edge AI/Model Optimization Engineer
Aberdeen, MD · On-site
$123K - $147K/yr
NextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within ...
Quick apply
Edge AI/Model Optimization Engineer
Aberdeen, MD · On-site
$123K - $147K/yr
NextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within ...
Java AI Engineer
Farmington Hills, MI · On-site
$51 - $69.75/hr
JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... edge AI capabilities. The candidate must be comfortable working in a fast-paced, research-driven ...
Quick apply
Java AI Engineer
Farmington Hills, MI · On-site
$51 - $69.75/hr
JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... edge AI capabilities. The candidate must be comfortable working in a fast-paced, research-driven ...
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 ...
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 ...
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 ...
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 ...
AI Engineer
Jersey City, NJ · On-site
$109K - $149K/yr
Experience with edge AI deployments and hybrid cloud-edge inference. Familiarity with synthetic data generation pipelines. Prior experience mentoring junior engineers or interns in AI/ML domains.
AI Engineer
Jersey City, NJ · On-site
$109K - $149K/yr
Experience with edge AI deployments and hybrid cloud-edge inference. Familiarity with synthetic data generation pipelines. Prior experience mentoring junior engineers or interns in AI/ML domains.
AI Engineer
Salt Lake City, UT · On-site
... edge AI and cloud-native technologies. This position is based onsite at a client location in the ... engineering, and business teams Required qualifications to be successful in this role What you'll ...
AI Engineer
Salt Lake City, UT · On-site
... edge AI and cloud-native technologies. This position is based onsite at a client location in the ... engineering, and business teams Required qualifications to be successful in this role What you'll ...
AI Engineer
Salt Lake City, UT · On-site
... edge AI and cloud-native technologies. This position is based onsite at a client location in the ... engineering, and business teams Required qualifications to be successful in this role What you'll ...
AI Engineer
Salt Lake City, UT · On-site
... edge AI and cloud-native technologies. This position is based onsite at a client location in the ... engineering, and business teams Required qualifications to be successful in this role What you'll ...
AI Engineer
Salt Lake City, UT · On-site
... edge AI and cloud-native technologies. This position is based onsite at a client location in the ... engineering, and business teams Required qualifications to be successful in this role What you'll ...
AI Engineer
Salt Lake City, UT · On-site
... edge AI and cloud-native technologies. This position is based onsite at a client location in the ... engineering, and business teams Required qualifications to be successful in this role What you'll ...
AI Engineer
Salt Lake City, UT · On-site
... edge AI and cloud-native technologies. This position is based onsite at a client location in the ... engineering, and business teams Required qualifications to be successful in this role What you'll ...
AI Engineer
Salt Lake City, UT · On-site
... edge AI and cloud-native technologies. This position is based onsite at a client location in the ... engineering, and business teams Required qualifications to be successful in this role What you'll ...
You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is ...
You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is ...
AI Engineer
Pleasanton, CA · On-site
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking ... As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ...
AI Engineer
Pleasanton, CA · On-site
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking ... As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ...
AI Engineer
Pleasanton, CA · On-site
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking ... As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ...
Quick apply
AI Engineer
Pleasanton, CA · On-site
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking ... As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ...
A cutting-edge AI logistics firm is seeking an entry-level AI Engineer to develop innovative AI systems for logistics operations. You will design AI agents, improve their reasoning capabilities, and ...
A cutting-edge AI logistics firm is seeking an entry-level AI Engineer to develop innovative AI systems for logistics operations. You will design AI agents, improve their reasoning capabilities, and ...
AI engineer
Fort Lauderdale, FL · On-site
$109K - $131K/yr
... edge AI and MLOps technologies - Collaborate with a highly skilled, innovative team - Direct impact on business-critical projects with visible outcomes How to Apply Ready to take your AI engineering ...
AI engineer
Fort Lauderdale, FL · On-site
$109K - $131K/yr
... edge AI and MLOps technologies - Collaborate with a highly skilled, innovative team - Direct impact on business-critical projects with visible outcomes How to Apply Ready to take your AI engineering ...
AI Engineer / Applied AI Developer Location: Okemos, MI or Farmington Hills, MI (3 days in a week ... cutting-edge AI capabilities. · The candidate must be comfortable working in a fast-paced ...
Quick apply
AI Engineer / Applied AI Developer Location: Okemos, MI or Farmington Hills, MI (3 days in a week ... cutting-edge AI capabilities. · The candidate must be comfortable working in a fast-paced ...
Edge Ai Engineer information
See salary details
$25.48 - $30.14
1% of jobs
$30.14 - $34.79
5% of jobs
$34.79 - $39.44
9% of jobs
$43.46 is the 25th percentile. Wages below this are outliers.
$39.44 - $44.10
12% of jobs
$44.10 - $48.75
10% of jobs
The median wage is $53.08 / hr.
$48.75 - $53.41
15% of jobs
$53.41 - $58.06
15% of jobs
$61.36 is the 75th percentile. Wages above this are outliers.
$58.06 - $62.72
13% of jobs
$62.72 - $67.37
10% of jobs
$67.37 - $72.03
10% of jobs
$72.03 - $76.68
2% of jobs
$25
$53
$76
How much do edge ai engineer jobs pay per hour?
As of Jul 8, 2026, the average hourly pay for edge ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.
What is an Edge AI Engineer?
An Edge AI Engineer is a professional who designs, develops, and deploys artificial intelligence (AI) applications that run directly on edge devices, such as smartphones, IoT sensors, cameras, or embedded systems, rather than relying solely on cloud computing. Their work involves optimizing machine learning models for efficiency and low power consumption, ensuring real-time processing, and addressing privacy or connectivity concerns. Edge AI Engineers typically have expertise in embedded systems, AI frameworks, and hardware acceleration technologies.
What are some common challenges Edge AI Engineers face when deploying models on resource-constrained devices?
Edge AI Engineers often encounter challenges such as optimizing machine learning models to run efficiently on devices with limited processing power, memory, and battery life. Balancing model accuracy with latency and resource constraints is a key consideration, as is ensuring robust security and data privacy for on-device processing. Additionally, engineers must frequently collaborate with hardware teams to tailor solutions for specific chipsets and work with software engineers to integrate models seamlessly into existing edge applications.
What are the key skills and qualifications needed to thrive as an Edge AI Engineer, and why are they important?
To thrive as an Edge AI Engineer, you need strong skills in machine learning, embedded systems, and software development, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with edge computing platforms (like NVIDIA Jetson or Google Coral), programming languages such as Python and C++, and experience with frameworks like TensorFlow Lite or ONNX are essential. Problem-solving ability, adaptability, and effective communication help you address unique deployment challenges and collaborate with cross-functional teams. These skills are vital to efficiently developing, optimizing, and deploying AI models on resource-constrained edge devices for real-world applications.
$134K - $177K/yr
Full-time
Posted 6 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.
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.