ZipRecruiter

Log In

1

Embedded Ai Engineer Jobs in Decatur, GA (NOW HIRING)

Stord

Head of AI

Atlanta, GA

Agentic development is embedded - every engineer at Stord is working with AI tooling, and we have measurable data showing velocity improvement * AI enablement is running as a program - other ...

Stord, Inc.

Head of AI

Atlanta, GA · On-site

Agentic development is embedded - every engineer at Stord is working with AI tooling, and we have measurable data showing velocity improvement * AI enablement is running as a program - other ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Quora

AI Automation Engineer -Remote

Atlanta, GA · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Quora

AI Automation Engineer -Remote

Kennesaw, GA · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Southern Company

AI Product Owner

Atlanta, GA · On-site

Ensure responsible AI, security, and regulatory considerations are embedded into product scope and ... Work closely with AI Architects, AI Engineers, and ML Ops Engineers to align scope, sequencing, and ...

Dolby

AI Architect

Atlanta, GA · On-site

Significant hands on experience in AI, machine learning, and embedded software engineering (often acquired over many years of professional practice) * Strong software engineering skills, including ...

Southern Company

AI Product Owner

Atlanta, GA · On-site

Ensure responsible AI, security, and regulatory considerations are embedded into product scope and ... Work closely with AI Architects, AI Engineers, and ML Ops Engineers to align scope, sequencing, and ...

next page

Showing results 1-20

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Decatur, GA

Embedded Ai Engineer information

See Decatur, GA salary details

$68.3K

$149.8K

$169.9K

How much do embedded ai engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for embedded ai engineer in Decatur, GA is $149,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $168,900.00 per year, depending on experience, location, and employer.

What is an Embedded AI Engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an Embedded AI Engineer, and why are they important?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an Embedded AI Engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What are popular job titles related to Embedded Ai Engineer jobs in Decatur, GA? For Embedded Ai Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Decatur, GA look for? The top searched job categories for Embedded Ai Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Embedded Ai Engineer jobs? Cities near Decatur, GA with the most Embedded Ai Engineer job openings:
Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Decatur, GA as of June 2026, with employment types broken down into 71% Full Time, 14% Part Time, and 15% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $149,753 per year, or $72 per hour.

React Native Developer With AI Experience

Visionary Innovative Technology Solutions

Atlanta, GA • On-site

Other

Posted 5 days ago

Job description

Role: React Native Developer–AI

Location: GA ( Hybrid)

Duration: Long Term Contract

Experience

  • 8+ years of mobile application development experience.
  • At least 5+ years of hands-on experience in React Native.

Job Summary

We are looking for a skilled React Native Developer with experience building high-quality cross-platform mobile applications and exposure to AI-driven capabilities.

The ideal candidate should have strong expertise in React Native, JavaScript/TypeScript, mobile architecture, API integrations, and a good understanding of how AI-powered features can be embedded into mobile products.

The role involves developing scalable mobile applications, integrating backend services and AI-driven capabilities, optimizing app performance, and collaborating with product, design, backend, and AI teams.

Required Technical Skills

React Native

  • Strong experience in React Native.

Mobile Platforms

  • iOS development (Swift/Objective-C) and/or
  • Android development (Kotlin/Java).

Architecture

  • Strong understanding of mobile application architecture patterns:
    • MVVM
    • MVC
    • Clean Architecture

Languages

  • JavaScript
  • TypeScript

State Management

  • Redux
  • Context API
  • Other state management libraries

Mobile Fundamentals

  • Mobile app architecture and component design.
  • Performance tuning and optimization.

API Integration

  • REST APIs
  • GraphQL
  • JSON-based integrations

Build & Deployment

  • Android and iOS build/deployment processes.

Version Control

  • Git-based version control and collaborative workflows.

Testing

  • Jest
  • Detox
  • Appium

Third-Party Integrations

  • SDK integration
  • Push notifications
  • Analytics
  • Crash reporting

AI / GenAI Expectations

Understanding of integrating AI/ML or GenAI features into mobile applications.

Experience working with AI-powered APIs/services such as:

  • Chatbots
  • Recommendation engines
  • NLP-based search
  • Summarization
  • Voice-enabled assistants
  • Image/Text intelligence features

Additional AI Knowledge

  • Prompt-driven workflows.
  • AI-assisted user journeys.
  • Responsible AI practices.
  • Ability to collaborate with AI engineers and data teams.

Additional Requirements

  • Experience with Node.js or backend-driven mobile integrations.
  • Experience with Firebase, analytics, crash reporting, and push notifications.
  • Familiarity with CI/CD pipelines for mobile delivery.
  • Experience with LLM/GenAI APIs such as:
    • OpenAI
    • Azure OpenAI
    • Similar enterprise AI platforms
  • Understanding of mobile security best practices.
  • Experience with Agile delivery environments.

Nice to Have

  • Native Android or iOS development experience.
  • Experience with offline-first mobile apps.
  • Publishing apps to Google Play Store and Apple App Store.
  • Knowledge of observability, logging, and monitoring tools.

Soft Skills

  • Strong communication and collaboration skills.
  • Ability to work in a fast-paced environment.
  • Ownership mindset with attention to quality and timelines.
  • Ability to translate product requirements into technical solutions.

Key Responsibilities

  • Design, develop, test, and maintain React Native applications.
  • Build reusable and high-performance mobile components.
  • Integrate REST APIs, GraphQL services, and third-party SDKs.
  • Collaborate with UI/UX teams to implement responsive interfaces.
  • Optimize memory usage, responsiveness, and overall app performance.
  • Write clean and maintainable code following best practices.
  • Participate in code reviews, debugging, and release management.
  • Work closely with backend and AI teams to integrate AI features.
  • Implement AI-powered capabilities such as smart search, recommendations, predictions, and voice features.
  • Support CI/CD pipelines and testing automation.
  • Ensure application security, privacy, and compliance standards.

Apply