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Embedded Machine Learning Jobs in Illinois (NOW HIRING)

Senior Embedded Engineer

Chicago, IL · On-site

$127K - $167K/yr

This organization develops innovative connected hardware products that combine sensors, machine learning, mobile applications, and embedded systems to help users improve performance and recovery. The ...

Experience deploying DSP and/or machine-learning algorithms on resource-constrained embedded platforms * Familiarity with FPGA development and hardware description languages such as VHDL * Experience ...

New

Experience deploying DSP and/or machine-learning algorithms on resource-constrained embedded platforms * Familiarity with FPGA development and hardware description languages such as VHDL * Experience ...

Experience deploying DSP and/or machine-learning algorithms on resource-constrained embedded platforms * Familiarity with FPGA development and hardware description languages such as VHDL * Experience ...

Experience deploying DSP and/or machine-learning algorithms on resource-constrained embedded platforms * Familiarity with FPGA development and hardware description languages such as VHDL * Experience ...

Machine Learning * C Programming * C++ Programming * Assembly Language * Audio Signal Processing Software * Embedded Systems Development * Algorithm Optimization * Audio Encoding * Inter-Device ...

New

... artificial intelligence and machine learning, reverse engineering, cybersecurity, signals ... Hands-on experience in embedded software development is also beneficial. * Our products are ...

... and machine learning, cybersecurity, signals intelligence and more. We can't tell you much more ... Hands-on experience in embedded software development is also beneficial. Our products are developed ...

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Showing results 1-20

Embedded Machine Learning information

See Illinois salary details

$67.8K

$148.6K

$168.6K

How much do embedded machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for embedded machine learning 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 machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What are the most commonly searched types of Embedded Machine Learning jobs in Illinois?

The most popular types of Embedded Machine Learning jobs in Illinois are:

What job categories do people searching Embedded Machine Learning jobs in Illinois look for?

The top searched job categories for Embedded Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Embedded Machine Learning jobs?

Cities in Illinois with the most Embedded Machine Learning job openings:

Infographic showing various Embedded Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $148,632 per year, or $71.5 per hour.

Senior Embedded Engineer

Motion Recruitment

Chicago, IL • On-site

$127K - $167K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday


Job description

A growing consumer technology company is seeking a Senior Embedded Software Engineer to join its full-time engineering team in San Francisco, CA. This organization develops innovative connected hardware products that combine sensors, machine learning, mobile applications, and embedded systems to help users improve performance and recovery. The environment is highly technical and focused on Embedded Linux development, firmware engineering, platform security, and IoT connectivity.
This is an opportunity to own critical components of an advanced embedded platform used by customers globally. The ideal candidate enjoys solving complex problems around secure boot, Linux systems, firmware architecture, hardware integration, and connected device security. Engineers on this team work with a high degree of autonomy, partner closely with international manufacturing teams, and have a direct impact on product quality and customer experience.
Required Skills & Experience
  • 5+ years of embedded software or firmware development experience
  • Strong C and/or C++ programming skills
  • Deep experience with Embedded Linux environments
  • Hands-on experience with Yocto, Bitbake, and system
  • Linux kernel development experience
  • Experience working on IoT or connected hardware products
  • Knowledge of software security principles and secure development practices
  • Ability to support manufacturing and deployment activities as needed
Desired Skills & Experience
  • Secure boot implementation experience
  • Key management and provisioning expertise
  • Anti-rollback and chain-of-trust experience
  • OP-TEE or Trusted Execution Environment experience
  • Bluetooth, Wi-Fi, or other wireless protocol experience
  • Experience optimizing performance in resource-constrained systems
  • Strong debugging and problem-solving abilities
What You Will Be Doing
Tech Breakdown
  • 75% Embedded Linux / Firmware Development
  • 15% Platform Security Engineering
  • 10% Wireless Communication & Hardware Integration
Daily Responsibilities
  • 85% Hands-On Development
  • 5% Leadership / Technical Guidance
  • 10% Cross-Functional Collaboration

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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