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Embedded Ai Engineer Jobs in Illinois (NOW HIRING)

Crowe Parentco

Senior AI Engineer

Chicago, IL · On-site

$74 - $148/hr

Senior AI Engineer 1About Crowe Studio Crowe Studio is a business unit dedicated to helping clients ... innovation, embedded AI capabilities, and global delivery resources--all in service of solving ...

Crowe LLP

Senior AI Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ...

Crowe LLP

Senior AI Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ...

Crowe LLP

Senior AI Engineer

Oakbrook Terrace, IL · On-site +1

$105K - $144K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ...

Stripe

AI Engineer

Chicago, IL · On-site

We are looking for AI Engineers who are energized by working close to the business and the users we ... You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities ...

Stripe

AI Engineer

Chicago, IL

We are looking for AI Engineers who are energized by working close to the business and the users we ... You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities ...

CNA

Principal AI Engineer

Chicago, IL · On-site

... embedded directly into decisioning workflows. * Acts as a senior technical mentor, developing engineers across the organization in AI-native practices including agentic coding patterns, context ...

Cna

Principal AI Engineer

Chicago, IL

... embedded directly into decisioning workflows. * Acts as a senior technical mentor, developing engineers across the organization in AI-native practices including agentic coding patterns, context ...

Morningstar, Inc.

Associate AI Engineer

Chicago, IL · On-site

$85K/yr

Role Overview We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in ... This role is embedded in our discovery team, working alongside Product Managers, UX designers, and ...

Keyrus Group

Forward Deployed AI Engineer

Chicago, IL · On-site

... embedded into the core of business processes to create sustainable value: we operationalise ... Experienced individual contributor What You'll Architect As a Forward Deployed AI Engineer, you ...

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Showing results 1-20

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Illinois

Embedded Ai Engineer information

See Illinois salary details

$67.8K

$148.6K

$168.6K

How much do embedded ai engineer jobs pay per year?

As of Aug 10, 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 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?

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 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 July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $148,632 per year, or $71.5 per hour.

Embedded AI Architect (W2 Only)

Sovereign Technologies

Peoria, IL • On-site

$169K/yr

Other

Posted 10 days ago

Job description

Job Title: Architect / Technical Lead – Embedded AI Systems (In-Cab AI Assistant)Location: Peoria, IL (Onsite)Experience: 8+ YearsMust-Have Skills
  • System Architecture & Technical Leadership
  • Embedded Linux
  • C/C++ and Python
  • Embedded/Edge Computing Systems
  • Hardware & Software Integration
  • CAN, J1939, CDL or similar machine communication protocols
  • AI/RAG (Grounded AI Assistant) knowledge
  • OTA Updates, Diagnostics, Logging & Telemetry
  • NVIDIA Orin/Jetson (Preferred)
  • Voice Systems (ASR/TTS)
  • Industrial/Automotive/Heavy Equipment domain
Job Summary

We are looking for an experienced Architect / Technical Lead to lead the end-to-end architecture of an AI-powered In-Cab Assistant platform for heavy equipment. The ideal candidate will have strong expertise in embedded Linux, system architecture, AI-enabled edge devices, hardware/software integration, and connected embedded systems. This role involves defining technical architecture, leading cross-functional engineering teams, ensuring safety and compliance, and driving integration of AI, voice, display, and machine interfaces.

Required Skills
  • Bachelor''''s degree in Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, or related field.
  • 8+ years of experience in embedded software, systems engineering, or technical architecture.
  • Strong experience with Embedded Linux and system-level software architecture.
  • Proficiency in C/C++ and Python.
  • Experience with embedded/edge AI platforms.
  • Experience integrating compute, display, audio, and hardware components.
  • Knowledge of CAN/J1939/CDL or similar industrial communication protocols.
  • Experience with OTA updates, diagnostics, telemetry, logging, and device management.
  • Familiarity with AI/RAG (Grounded AI Assistant) systems.
  • Strong documentation, communication, and technical leadership skills.
Preferred Skills
  • NVIDIA Orin/Jetson platform experience.
  • Voice technologies (ASR, TTS).
  • HMI development for industrial or automotive systems.
  • Heavy equipment, automotive, robotics, or Industrial IoT experience.
  • GPU programming.
  • Cybersecurity architecture for connected embedded systems.
  • Aftermarket or retrofit product development.
  • Experience grounding AI using manuals, service documents, or fault data.

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