ZipRecruiter

Log In

1

Edge Ai Engineer Jobs (NOW HIRING)

CoreStory

AI Engineer

We're looking for an AI Engineer who is passionate about building intelligent systems that blend ... Access to cutting-edge AI models, research, and infrastructure.

Renesas Electronics

Senior Staff AI Engineer

Columbia, MD · On-site

$101K - $139K/yr

... Engineer to lead their Edge AI Applications Lab. The role involves managing R&D projects ... Responsibilities : • Lead Edge AI Applications Lab, including management of project, people ...

Factory

AI Engineer

San Francisco, CA · On-site

Factory is looking for innovative AI Engineers to build and evolve cutting-edge AI systems that transform how software organizations accelerate their productivity and innovation. What you will do and ...

GC AI

Applied AI Engineer

San Mateo, CA · On-site +1

$165K - $350K/yr

About The Role We're seeking an exceptional AI Engineer to help lead the development of our cutting-edge AI platform. This is a unique opportunity to shape how artificial intelligence transforms ...

Undisclosed

Be Seen First

AI Engineer-Agentic AI

Chicago, IL · Remote

$85K - $130K/yr

About the Role We are seeking a highly skilled AI Engineer with hands-on experience designing ... Opportunity to work with cutting-edge AI technologies. * Collaborative, innovative, and fast-paced ...

next page

Showing results 1-20

All JobsEdge Ai Engineer Jobs

Edge Ai Engineer information

See salary details

$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.
Infographic showing various Edge Ai Engineer 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 $111,552 per year, or $53.6 per hour.
AI Engineer / Applied AI Developer

AI Engineer / Applied AI Developer

Tech Tammina

Okemos, MI • On-site

Full-time

Posted 21 days ago

Job description

Role: AI Engineer / Applied AI Developer
Location: Okemos, MI or Farmington Hills, MI (3 days in a week onsite)
Duration: Long term
Rate: Market
Summary:
• The ideal candidate should have strong hands-on development skills, with a passion for building AI-powered proof-of-concepts and exploring cutting-edge AI capabilities.
• The candidate must be comfortable working in a fast-paced, research-driven environment, be a problem solver with excellent critical thinking, and have a strong foundation in Python programming.
• Experience with large language models is a must.
• Machine learning frameworks, or AI cloud services is a plus but not required.
Must Have Technical Skills:
• Java (advanced proficiency)
• Python (intermediate to advanced proficiency)
• Ability to quickly build working proof-of-concepts
• Strong analytical and critical thinking skills
• Experience with prompt engineering and function calling in LLMs
• Experience integrating APIs and handling structured/unstructured data
• Familiarity with Git and development in a collaborative environment

Apply