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Embedded Ai Engineer Jobs in Springfield, IL (NOW HIRING)

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Embedded Ai Engineer information

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$69.4K

$152K

$172.5K

How much do embedded ai engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for embedded ai engineer in Springfield, IL is $152,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $171,500.00 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 are the key skills and qualifications needed to thrive as an embedded AI engineer?

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 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 Springfield, IL?

For Embedded Ai Engineer jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Springfield, IL look for?

The top searched job categories for Embedded Ai Engineer jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Embedded Ai Engineer jobs?

Cities near Springfield, IL with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Springfield, IL as of June 2026, with employment types broken down into 73% Full Time, 12% Part Time, and 15% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $152,019 per year, or $73.1 per hour.

Embedded Software Engineer - Remote Control & Autonomy Systems

ARi

Springfield, IL • On-site

$90K - $100K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking Embedded Software Engineer – Remote Control & Autonomy Systems


Embedded Software Engineer – Remote Control & Autonomy Systems

Location: Peoria IL (Onsite)

Job Type: Full-Time

Salary: $90000 -$100000 per year


Duties / Responsibilities

  • Design, develop, integrate, and test embedded software for Remote Control and Autonomy systems used in machine applications.
  • Define and support system requirements, architecture, interfaces, and end-to-end feature traceability.
  • Develop and maintain embedded software using Embedded C/C++ and MATLAB/Simulink.
  • Support embedded system development in RTOS environments.
  • Perform system-level integration across software, hardware, controls, vision systems, and communication networks.
  • Execute system verification and validation (V&V), troubleshooting, debugging, and root-cause analysis.
  • Work with communication protocols and networks including CAN and Ethernet.
  • Analyze system and network behavior using tools such as CANoe, CANalyzer, and Wireshark.
  • Review and interpret electrical schematics while troubleshooting system-level issues.
  • Support functional safety, FMEA, product quality, and software release activities.
  • Participate in HIL/SIL and automated testing activities as applicable.
  • Utilize AI-assisted engineering tools such as GitHub Copilot and Microsoft Copilot to improve development, testing, and documentation efficiency.
  • Collaborate with Remote Control system engineers and global cross-functional teams to deliver robust, production-ready solutions.
  • Participate as part of a 7–8-person development team focused on new Remote Control and Autonomy technologies.

Education / Experience

  • Bachelor’s degree in Engineering, Computer Science, Computer Engineering, Electrical Engineering, or an equivalent technical field from an accredited institution.
  • 5–7 years of relevant experience in Systems Engineering, Embedded Software Development, System Integration, and/or Validation.
  • Relevant internship experience may be considered as part of overall experience.
  • Strong hands-on background in embedded software and system-level development is required.
  • Candidates whose experience is primarily or exclusively software validation/testing without embedded development and system integration experience may not be suitable for this position.

Required Skills

  • 5+ years of Embedded C/C++ development experience.
  • Strong hands-on experience with MATLAB/Simulink for embedded control system development.
  • 5+ years of embedded systems development experience, including RTOS-based systems.
  • 3–5 years of system integration experience.
  • Strong understanding of requirements engineering, system architecture, interfaces, system integration, and V&V.
  • Experience working with RTOS, CAN, Ethernet, and embedded electronic control systems.
  • Ability to read and understand electrical schematics and troubleshoot hardware/software integration issues.
  • Hands-on experience with CANoe, CANalyzer, Wireshark, Git, and modern software development and testing tools.
  • Experience performing technical troubleshooting and root-cause analysis across software, hardware, and communication interfaces.
  • Familiarity with AI-assisted engineering tools such as GitHub Copilot or Microsoft Copilot.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Self-motivated and able to learn new technologies quickly while working effectively within a global engineering team.
  • Ability to work onsite in an office-based environment.

Preferred Skills

Experience with Autonomy, Robotics, Remote Control, or Machine Control Systems is highly preferred. Familiarity with AUTOSAR, Functional Safety, FMEA, HIL/SIL, DOORS/Jama, vision systems, and automated test frameworks would be beneficial.

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About ARi

Sourced by ZipRecruiter

Industry

Industrial machinery manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

East Peoria, IL, US

Year founded

2006

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