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Embedded Ai Engineer Jobs in Illinois (NOW HIRING)

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Embedded Ai Engineer information

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$67.8K

$148.6K

$168.6K

How much do embedded ai engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for embedded ai engineer in Illinois is $148,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $167,600.00 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 Illinois?

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

What job categories do people searching Embedded Ai Engineer jobs in Illinois look for?

The top searched job categories for Embedded Ai Engineer jobs in Illinois are:

What cities in Illinois are hiring for Embedded Ai Engineer jobs?

Cities in Illinois with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Illinois as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $148,632 per year, or $71.5 per hour.

Senior Embedded Software Engineer

Mitsubishi Logisnext Americas

Marengo, IL • On-site

$120 - $165/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Job Location: Marengo - MARENGO, IL 60152

Position Type: Full Time

Salary Range: $120,000.00 - $165,000.00 Salary

Job Category: Engineering

About Us:

Logisnext Americas Inc. has supported customers for more than 100 years as a technology-driven forklift manufacturer. In addition to being a forklift manufacturer, we are also a total solutions provider offering scalable products and services from material handling and automation to extensive fleet support.

About the role:

As a Senior Embedded Software Engineer, you will serve as the technical and strategic owner for embedded software to develop Connected and ADAS solutions within emerging technology systems in our forklift portfolio. This role blends deep technical execution along with developing, integrating and validating embedded software for telematics, LiDAR, AI camera, and UltraWide Band (UWB) products coupled with product management responsibilities. Lead software development, integration, and releases while shaping product roadmaps. Drive supplier and cross-functional alignment to deliver connected solutions that meet business, market, and quality objectives. Architect software solutions and apply SIL/HIL, Model-in-the-Loop, and advanced testing methods to validate system performance.

What you will do:Product Lifecycle & Strategy (Embedded Software Focus):
  • Define the embedded software vision, roadmap, and technical strategy for connected solutions components you own. Manage the end-to-end software release process, including branching strategies, documentation, and validation alignment while adhering to industry standards
System Integration & Architecture:
  • Lead embedded software architecture and integration for telematics, LiDAR, AI cameras, and UWB. Serve as the subject matter expert (SME) on how embedded software interacts with the forklift’s core control systems and sensors.
Supplier & Stakeholder Management:
  • Act as the primary technical point of contact for software and electronics suppliers. Conduct technical reviews, support RFQs, and ensure supplier deliverables meet quality and cost targets
Advanced Validation & Compliance:
  • Lead system‑level software validation (SIL/HIL). Support prototype builds and field trials, ensuring embedded software meets performance requirements, reliability, and safety considerations
Current Product Management:
  • Track, troubleshoot, and resolve embedded software issues in production products, implementing corrective actions to improve robustness and maintainability
When & Where:
  • Hybrid Work Schedule in office 3 days a week
  • 5-10% domestic travel
QualificationsWhat you need to have:
  • Bachelor’s degree in computer engineering, Electrical Engineering, Computer Science, or related field
  • 7+ years of embedded software engineering experience with a proven track record of releasing products in an OEM environment
  • Demonstrated experience managing embedded software products from concept through end-of-life (EOL), including feature prioritization and quality
  • Proficiency with software configuration management and lifecycle tools (e.g., Git, CI/CD pipelines, ticketing systems)
  • Experience developing automated test scripts and setting up automation frameworks to verify software and feature functionality
  • Working knowledge of embedded software engineering best practices, software architecture, and real-time control systems
  • Experience with vehicle communication protocols-CAN, ability to analyze data, logs using relevant tools like CANAnalyzer, PCAN & Network analyzer
  • Hands‑on experience with software debugging and test instruments, including debuggers, logic analyzers, and protocol analyzers
What would be nice to have:
  • Master's degree in computer engineering, Electrical Engineering, Computer Science, or related field. (preferred)
  • Knowledge of embedded operating systems/RTOS and safety‑related software design principles.
  • Experience working with telematics and IoT systems, including device connectivity, data handling, and cloud integration patterns
  • Experience with software/firmware troubleshooting and complex issue resolution across hardware–software boundaries
  • Hands‑on experience architecting and implementing embedded software for vehicle or industrial applications
  • Experience integrating LiDAR, AI camera, and UWB positioning technologies in embedded software
What we offer:
  • Medical, dental, and vision benefits
  • Paid Vacation, Sick Time, and Paid Holidays
  • Profit Sharing Opportunities
  • Flexible Spending and HSA Accounts
  • 401k with automatic company contribution and company match
  • Short-term and long-term disability insurance
  • Life, Dependent Life, and AD&D Insurance
  • Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
  • Employee Assistance Program
  • Employee Discounts
  • On-site fitness center (Houston & Marengo)
  • On-the-job training and development

The salary for this position ranges from $120,000 to $165,000 annually. The specific salary for a successful candidate will depend upon, among other legitimate factors, education, training, and/or experience.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Equal Opportunity Employer/Veterans/Disabled

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