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Embedded Ai Engineer Jobs in Florida (NOW HIRING)

SAIC

Senior Embedded Software Engineer

Panama City Beach, FL · Hybrid

$110.20K - $144.40K/yr

Embedded SW Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: Interim ... Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile ...

SAIC

Senior Embedded Software Engineer

Panama City, FL · Hybrid

$110.60K - $145K/yr

Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile ... engineering, intelligence, and enterprise information technology markets. SAIC is Redefining ...

SAIC

Senior Embedded Software Engineer

Panama City Beach, FL · Hybrid

$110.20K - $144.40K/yr

You will hone your developer skills and gain engineering experience rapidly. Our team provides ... Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile ...

SAIC

Senior Embedded Software Engineer

Panama City Beach, FL · On-site

$110.20K - $144.40K/yr

Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile ... ing services, and professional services. We integrate emerging technology, rapidly and securely ...

EXL

Senior AI Engineer

Sunrise, FL · On-site

$99.70K - $136.80K/yr

This role focuses on designing, engineering, and hardening production-grade AI solutions that are embedded into business workflows--not research prototypes. You will work in small, high-impact ...

Catalyst Labs, LLC

Applied AI Engineer

Jacksonville, FL · On-site

$129.70K/yr

About the job Applied AI Engineer About Us Catalyst Labs is a leading talent agency with a ... We stand out as an agency that's deeply embedded in our clients' recruitment operations. We partner ...

Catalyst Labs, LLC

Applied AI Engineer

Tampa, FL · On-site

$127.40K/yr

About the job Applied AI Engineer About Us Catalyst Labs is a leading talent agency with a ... We stand out as an agency that's deeply embedded in our clients' recruitment operations. We partner ...

Catalyst Labs, LLC

Applied AI Engineer

Miami, FL · On-site

$133.90K/yr

About the job Applied AI Engineer About Us Catalyst Labs is a leading talent agency with a ... We stand out as an agency that's deeply embedded in our clients' recruitment operations. We partner ...

Meraki7 Inc

Senior Embedded Software Engineer

Melbourne, FL

$114.90K - $150.60K/yr

Senior Embedded Software Engineer Location: USA - Melbourne Interview Process: Phone/Teams ... Integrate AI/ML-driven capabilities into embedded or edge environments. * Work across hardware ...

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How much do embedded ai engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for embedded ai engineer in Florida is $114,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $129,300.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Embedded Ai Engineer jobs in Florida? For Embedded Ai Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Florida look for? The top searched job categories for Embedded Ai Engineer jobs in Florida are:
What cities in Florida are hiring for Embedded Ai Engineer jobs? Cities in Florida with the most Embedded Ai Engineer job openings:
Embedded Ai Engineer jobs near you
Senior Embedded Software Engineer

Senior Embedded Software Engineer

SAIC

Panama City Beach, FL • Hybrid

$110.20K - $144.40K/yr

Full-time

Posted 28 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 204 rated it services

Job description

Job ID: T2600914

Location: Panama City Beach, FL, US

Date Posted: 2026-03-05

Category: Information Technology

Subcategory: Embedded SW Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: Interim_Secret

Clearance Level Must Be Able to Obtain: Secret

Potential for Remote Work: ORA_ON_SITE


Description



SAIC is seeking a Senior Embedded Software Engineer to join our dynamic team at our customer site in Panama City Beach, FL.

JOB DESCRIPTION:

You will be working in a dynamic environment at our off-base locations and at the Panama City Beach Naval Surface Warfare Center.  You will be supporting multiple Navy projects of various scales and multiple contracts.  You will hone your developer skills and gain engineering experience rapidly.

Our team provides onsite support for modification, upgrades and software maintenance supporting fielded software baselines along with our System Integration Laboratory (SIL) software simulators. We provide software design, development, coding, test, and integration support in the software development environment.

JOB DUTIES:

  • Software Development: Write and implement optimized code for microcontrollers and processors, handling the full SDLC
  • Testing & Debugging: Perform unit, integration, and system testing, plus troubleshoot issues and debug complex embedded systems
  • Documentation: Create technical manuals, design specifications, and maintain code for future reference
  • Examples of software engineering and development support activities for this role include but are not limited to the following:
    • Design and implement real-time embedded software intensive code solutions, test the resulting components, and analyze runtime profiles to debug errors that might exist
    • Integrate software units and components producing integrated software items consistent with the design that demonstrate the functional and non-functional software requirements
    • Document software functionality
    • Perform Object-Oriented Analysis and Design (OOAD) and programming in Java, C, C++, and C#
    • Perform software component development and lifecycle software support
    • Windows, Linux, and VxWorks operating systems programming
    • Use of Microsoft Visual C++ development environment with Microsoft Foundation Classes (MFC)
    • Use of Java development environments Eclipse, NetBeans, IntelliJ
    • Develop network protocol based applications using Transmission Control Protocol/Internet Protocol (TCP/IP)
  • The job also will include updating existing code and integrating improvements to software already in operation
  • Will support all aspects of the software development life cycle including unit test coverage, test automation, CI/CD pipelines and frequent releases
  • Will perform software configuration management planning, tracking and validation processes and procedures
  • Review and test software components for adherence to the design requirements and documents test results
  • Use your expertise to provide guidance on a variety of technical projects
  • Lead team members in Agile software development
  • Provide direct support to the program manager on technical issues

Qualifications



REQUIRED EXPERIENCE AND CLEARANCE:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field and 5 years or more of work experience
  • Programming: Proficiency in C/C++ or Java is fundamental
  • RTOS: Understanding of real-time operating systems (e.g., Linux, VxWorks)
  • Hardware Knowledge: Understanding of microcontrollers, protocols (TCP/IP, Modbus), and reading schematics.
  • Soft Skills: Problem-solving, analytical thinking, attention to detail, and communication
  • Writing and interpreting technical reports and requirements and interface documents
  • Preparing presentation material and presenting to peers, project team members, and managers
  • Must demonstrate strong organizational skills and the ability to work multiple projects concurrently
  • Previous demonstrated ability in debugging and optimization
  • Experience working with hardware teams to ensure efficient and reliable performance within resource constraints
  • Must be a U.S. citizen able to obtain a Secret Clearance. Interim Secret required to start. SAIC will sponsor qualified candidates for a security clearance

DESIRED EXPERIENCE:

  • Scrum Master Certification (CSM)
  • Familiarity with integrating and implementing embedded AI solutions
  • Experience working in Agile (Scrum, Kanban, Crystal Methods, etc.) and Hybrid project teams

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