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Senior Embedded Ai Jobs (NOW HIRING)

SAIC

Senior Embedded Software Engineer

Panama City Beach, FL · On-site

$110K - $144K/yr

Description SAIC is seeking a Senior Embedded Software Engineer to join our dynamic team at our ... Familiarity with integrating and implementing embedded AI solutions. * Experience working in Agile ...

Protingent

Sr Embedded Software Engineer

Louisville, CO · On-site

$156K - $215K/yr

Position Title: Sr Embedded Software Engineer Position Description: Protingent Staffing has an ... AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a ...

Actalent

Sr Embedded Software Engineer

Madison, AL

$106K - $139K/yr

Job Title: Sr Embedded Software Engineer This role focuses on architecting, developing, integrating ... You will also leverage modern AI-assisted development tools while exercising sound technical ...

New

Qnergy Inc

Senior Embedded Software Engineer

Ogden, UT · On-site

$121K - $159K/yr

The Senior Embedded Software Engineer will design, develop, and support the embedded software and ... AI-assisted tooling. * Support manufacturing, field service, and customer-facing teams in ...

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How much do senior embedded ai jobs pay per year?

As of Sep 13, 2026, the average yearly pay for senior embedded ai in the United States is $144,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $162,500.00 per year, depending on experience, location, and employer.

What is a senior embedded AI engineer?

A Senior Embedded AI Engineer is a specialized professional who designs, develops, and implements artificial intelligence algorithms on embedded systems, such as microcontrollers and edge devices. They work at the intersection of hardware and software, optimizing AI models for performance, efficiency, and low power consumption. Their responsibilities often include collaborating with hardware engineers, integrating AI solutions into products, and ensuring real-time processing capabilities. Senior roles typically require deep expertise in both AI frameworks and embedded system architectures, as well as experience leading technical projects.

What are the key skills and qualifications needed to thrive as a senior embedded AI engineer?

To thrive as a Senior Embedded AI Engineer, you need strong expertise in embedded systems, machine learning algorithms, and proficiency in programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with hardware platforms (such as ARM or FPGA), real-time operating systems (RTOS), and AI frameworks (like TensorFlow Lite or ONNX) is typically required. Exceptional problem-solving, teamwork, and communication skills help you collaborate effectively and drive innovation in multidisciplinary environments. These skills are crucial for developing efficient, reliable AI solutions that operate seamlessly on resource-constrained devices.

What are some common challenges faced by senior embedded AI engineers when integrating AI models into resource-constrained devices?

Senior Embedded AI engineers often encounter challenges such as optimizing AI models to run efficiently on devices with limited memory, processing power, and battery life. Balancing model accuracy with computational constraints requires creative problem-solving, such as model quantization, pruning, or leveraging hardware accelerators. Additionally, ensuring real-time performance and maintaining robust security for on-device inference are key concerns. Close collaboration with hardware, firmware, and software teams is essential to successfully deploy and maintain AI solutions on embedded systems.

What is the difference between Senior Embedded Ai vs Embedded Software Engineer?

AspectSenior Embedded AiEmbedded Software Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; experience in AI/MLBachelor's in Computer Science, Electrical Engineering, or related; programming skills in C/C++
Work EnvironmentResearch labs, AI-focused teams, product development in IoT, roboticsEmbedded systems development in consumer electronics, automotive, industrial devices
Employer & Industry UsageTech companies, startups, automotive, roboticsElectronics manufacturers, automotive, consumer device companies

While both roles involve embedded systems, Senior Embedded Ai focuses on integrating AI/ML capabilities into embedded devices, requiring knowledge of AI frameworks. Embedded Software Engineers develop the core software for embedded hardware, often with less emphasis on AI. The senior role typically demands more experience and specialized skills in AI integration.

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Senior Embedded Ai jobs near you
Infographic showing various Senior Embedded Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $144,773 per year, or $69.6 per hour.

Senior Embedded Software Engineer

Panama City Beach, FL • Hybrid

Science Applications International Corporation
IT Services • 10K+ employees
Learn more about Science Applications International Corporationexternal

$110K - $144K/yr

Full-time

Posted 9 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job 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.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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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