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Edge Ai Engineer Jobs (NOW HIRING)

Working on cutting-edge AI projects in a dynamic telecommunications environment. * Collaborating with a team of infrastructure engineers who have developed AI expertise. * Opportunities for contract ...

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.

Systems Architect, Edge AI

Framingham, MA ยท On-site

$250K/yr

We are seeking a Principal Systems Engineer - Systems Architect, Edge AI to help architect that future. This is a deeply technical and creative role at the intersection of embedded systems, audio ...

Systems Architect, Edge AI

Framingham, MA ยท On-site

$250K/yr

We are seeking a Principal Systems Engineer - Systems Architect, Edge AI to help architect that future. This is a deeply technical and creative role at the intersection of embedded systems, audio ...

Software Engineer, Edge AI

Washington, DC ยท On-site

$150 - $200/hr

Our unique model of centralized go-to-market and decentralized engineering allows us to move with ... What You'll Do ML/AI Deployment * Deploy machine learning models on hardware-constrained devices

As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic ... Lead design and implementation of critical AI product initiatives on Edge devices. * Develop both ...

Systems Architect - Edge AI/ML

Concord, NC ยท Hybrid

$226K/yr

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for ... Partner with product management and engineering teams to enable AI-driven capabilities such as ...

AI Engineer

Jersey City, NJ ยท On-site

$101K - $139K/yr

What We Offer Opportunity to work on cutting-edge AI and Generative AI projects. Mentorship from experienced AI engineers. Learning and certification support. Career growth in a fast-paced AI ...

AI Engineer

Jersey City, NJ ยท On-site

$101K - $139K/yr

What We Offer Opportunity to work on cutting-edge AI and Generative AI projects. Mentorship from experienced AI engineers. Learning and certification support. Career growth in a fast-paced AI ...

Role Overview StatusNeo is seeking a passionate and innovative AI Engineer to design, develop, and deploy cutting-edge AI and Generative AI solutions. The ideal candidate will have strong expertise ...

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. The role involves ...

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Edge Ai Engineer information

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$25

$53

$76

How much do edge ai engineer jobs pay per hour?

As of Sep 9, 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 the key skills and qualifications needed to thrive as an Edge AI Engineer?

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.

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 cities are hiring for Edge Ai Engineer jobs?

Cities with the most Edge Ai Engineer job openings:

What are popular job titles related to Edge Ai Engineer jobs?

For Edge Ai Engineer jobs, the most frequently searched job titles are:

Infographic showing various Edge Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Prompt Engineer (AI Engineer)

Plano, TX โ€ข On-site

Optomi
IT Servicesย โ€ขย 201 - 500 employees

Other

Posted 5 days ago


Job description

Optomi, in partnership with a leading telecommunications company, is looking for an AI Engineer to support their infrastructure and AI initiatives.


Position Summary: We are seeking AI Engineers who can apply AI to infrastructure and software engineering workflows. The primary focus is on developing AI-powered tools, agents, and services that understand infrastructure context and automate or assist with infrastructure-related analysis and development. This role involves building AI tools that analyze existing infrastructure, simulate traffic/resource requirements, and generate actionable recommendations.


What the right candidate will enjoy:

  • Working on cutting-edge AI projects in a dynamic telecommunications environment.
  • Collaborating with a team of infrastructure engineers who have developed AI expertise.
  • Opportunities for contract-to-hire with potential full-time conversion.


What type of experience does the right candidate have:

  • Experience with agent creation and AI agents/skills.
  • Proficiency in prompt engineering and context generation.
  • Understanding of model selection and AI tooling.
  • Familiarity with infrastructure technologies such as Terraform, Kubernetes, AWS, and Azure.


What the responsibilities are of the right candidate:

  • Develop AI-powered tools that understand and automate infrastructure analysis.
  • Integrate AI solutions into existing infrastructure workflows.
  • Conduct AI testing and develop test-data.
  • Securely integrate AI into enterprise environments, addressing potential vulnerabilities.


Day to day:

  • Context creation/modeling
  • Prompt engineering
  • Build ai tooling with prompts to create infra
  • Doesnโ€™t need to create a model/mcp/agent development
  • Need to build the context- the data to train it
  • Understand frontier models
  • Need to know the right model to use


***5 days onsite in either Plano, Texas or Bothell, Washington.


Thanks!