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Senior Embedded Machine Learning Jobs in Illinois

Travel to machine worksites to participate in surveys, investigate problems, understand ... Employee learning and development programs Diversity & Inclusion Commitment At Komatsu, we come ...

Sr. Embedded Software Engineer

Schaumburg, IL · On-site +1

$122K - $160K/yr

The Senior Embedded Software Engineer owns the full lifecycle of embedded microcontroller software ... Self-directed learning and professional development * Strategic thinking to balance competing ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

As a Senior Machine Learning Engineer in Product & Technology, you will help Paylocity build and deploy Machine Learning solutions, to help our teams build better products faster, more reliably, and ...

... senior architect. Key Responsibilities * Support the design, deployment, monitoring, and ... machine learning models in a high-traffic production environment. * Maintain, troubleshoot, and ...

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

POSITION SUMMARY The Senior Machine Learning Engineer is responsible for designing, building, and deploying scalable machine learning systems that drive business impact. This role will partner ...

... senior architect. Key Responsibilities * Support the design, deployment, monitoring, and ... machine learning models in a high-traffic production environment. * Maintain, troubleshoot, and ...

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

Senior Machine Learning Engineer ABOUT THE ROLE This is a hands-on, high-ownership role for ML engineers who want to build production models that actually ship, and perform under real-world ...

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

The client seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that client guests, members, customers and internal users leverage to transform the guest ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

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Showing results 1-20

Senior Embedded Machine Learning information

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are some common challenges faced by Senior Embedded Machine Learning Engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What does a Senior Embedded Machine Learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.
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:
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Komatsu

Peoria, IL • On-site

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Komatsu rating

8.5

Company rating: 8.5 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

59th of 417 rated machine equipment manufacturers


Job description

Senior Embedded Software Engineer
Posting Start Date: 5/18/26
Job Location (Short): Peoria, Illinois, USA, 61639
Requisition ID: 35898
Onsite or Remote: Onsite Position
Join Komatsu and Be Part of Something Big!
Job Overview
Responsible for completing general embedded software development assignments, as well as contributing to design teams on electrical projects for vehicle chassis, and/or components, and/or systems. To develop embedded software control design concepts and associated documentation to support the manufacturing of products. Development to meet design compliance to Engineering Standards, product quality and product cost. Interface with other Komatsu Engineering groups and suppliers as required for exchange of technical information. Provide technical support to Manufacturing for vehicle build issues, Marketing plus Sales for vehicle sales issues, and Service plus Parts for customer issues. Visit customer sites for resolution of product issues, promotion of sales, maintaining knowledge of mine environment, and understanding customer expectations.
Key Job Responsibilities
  • Develop and update software requirements, create embedded software, write test requirements, and required documentation, support software releasing and implementation.
  • Communicate effectively verbally and in writing. Write clear and concise memo's including drafts of technical documents such as Parts and Service News, Operator and Shop Manuals, etc. Make presentations during Design Reviews, etc. Keep Assistant Chief Engineer and Chief Engineer informed on project status and advise of potential risks to the successful completion of the project to provide opportunity for timely corrective action.
  • Develop Quality Confirmation Check Sheets for design concepts.
  • Discuss, negotiate, and resolve specification issues with Manufacturing and Suppliers, as required. Understand and accommodate manufacturing capabilities and limitations.
  • Determine required quality confirmation tests and coordinate with Test Department.
  • Meet Quality, Cost and Delivery targets established for the Project. Utilize continuous improvement techniques to improve quality, reduce cost and lead time, etc.
  • Maintain effective Engineering Change Control by preparing and processing appropriate Engineering Release Letters.
  • Support Production of Prototype development by resolving problems with effective countermeasures and follow-up documentation.
  • Support Service and QA departments by determining root cause of problems and developing effective countermeasures.
  • Present design concept, quality confirmation check sheet and design progress at Design Review Meetings.
  • Support Sales and Marketing by ensuring that product meets customer expectations and by developing special features as required.
  • Travel to machine worksites to participate in surveys, investigate problems, understand applications, determine customer expectations, install, and evaluate countermeasures, etc.

Qualifications/Requirements
  • BS Degree in Electrical Engineering and 5+ years of experience in the design of related products. A Master's Degree plus 3 years or greater experience will be considered the equivalent qualification.
  • 3+ years of experience and knowledge in the specialized areas of Software and Hardware Electronics relating to the collection, monitoring, analysis, controls, and display of vehicle data, ISO and MSHA regulations and recommended practices. General knowledge of hydraulics, engines, and drive systems.
  • Software architecture development experience in C on embedded platforms, including commercial RTOS.
  • Experience with communication protocols including J1939 and TCP/IP.
  • An understanding of Micro-controllers and Embedded development.
  • Experience working with multi-thread real-time systems.
  • Experience with embedded driver development (Digital IO, ADC, PWM, I2C, SPI)
  • Experience creating software design documentation (Requirements, Specifications, Test Plan)
  • Experience in leading development projects and ability to take ownership of projects and drive them to completion with minimal supervision.
  • Experience bench testing and debugging embedded systems.
  • Proficiency in software applications including Microsoft Excel, Word and Power Point, as a minimum.
  • Ability and willingness to travel, including international travel up to 5% of working time.

Additional Information
The ideal candidate would additionally have experience in the following:
  • Experience developing CAN/J1939 datalink communication software.
  • Understanding of Linux and Linux application development.
  • Experience with model-based software development including Matlab/Simulink and embedded software architecture experience.
  • Experience with mining trucks or mining equipment.

Hiring Range
At Komatsu, your base pay is one part of your total compensation package. This role pays $110,000 - $135,000. The actual offer will consider a wide range of factors, including experience and location.
Company Benefits
Komatsu provides an extensive and robust employee benefits package that is designed to enhance the well-being of our employees and family members. We embrace a positive and empowering employee experience with a culture that prides itself on a diverse and inclusive environment.
  • Health benefits: Medical, dental, vision, HSA, wellness programs, etc.
  • 401k and/or employee savings programs
  • Employee time off (vacation and designated holidays)
  • Employee and family assistance programs
  • Disability benefits
  • Life insurance
  • Employee learning and development programs

Diversity & Inclusion Commitment
At Komatsu, we come from diverse backgrounds, with unique perspectives, experiences and contributions. We believe that our people are part of our shared purpose. Connected by our core values of ambition, perseverance, collaboration and authenticity, we are committed to continually advancing in our support of diversity and inclusion. United, we are on a journey towards a sustainable future that creates value together.
Company Information
Komatsu develops and supplies technologies, equipment and services for the construction, mining, forklift, industrial and forestry markets. Headquartered in Tokyo, Japan, Komatsu employs more than 64,000 people worldwide, operating in more than 140 countries. For more than a century, the company has been creating value for its customers through manufacturing and technology innovation, partnering with others to empower a sustainable future where people, business and the planet thrive together. Since the company's founding in 1921, Komatsu has been committed to supporting individuals and communities through job training, skills development and giving back. As a Komatsu employee, you will be encouraged to grow alongside our global company, contributing to a more sustainable future for all. If you are looking for a company that values your talent and potential, join Komatsu to be a part of something big and help advance modern society. Learn more at www.komatsu.com.
EEO Statement
Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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