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Hourly Embedded Machine Learning Jobs in Raleigh, NC

... machine-learning algorithm integration. Responsibilities : • develop and maintain real-time ... with embedded systems or deploying AI/ML solutions on edge hardware (highly desirable) • ...

Firmware Engineer

Raleigh, NC · On-site

$80 - $100/hr

Design, develop, test and debug embedded firmware code. * Design for testability The ideal ... based logic and machine learning algorithms to deliver real-time machine data and actionable ...

Design, develop, test and debug embedded firmware code. * Design for testability The ideal ... based logic and machine learning algorithms to deliver real-time machine data and actionable ...

Design, develop, test and debug embedded firmware code. * Design for testability The ideal ... based logic and machine learning algorithms to deliver real-time machine data and actionable ...

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

Experience with real-time Linux or embedded environments. * Experience applying machine learning frameworks (e.g., PyTorch, TensorFlow) to RF data. * Prior technical leadership, Chief Engineer, or ...

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

Experience with real-time Linux or embedded environments. * Experience applying machine learning frameworks (e.g., PyTorch, TensorFlow) to RF data. * Prior technical leadership, Chief Engineer, or ...

We build advanced software and machine learning systems that help the Department of Defense detect ... Experience with embedded systems or deploying AI/ML solutions on edge hardware (highly desirable)

RF signal processing, electronic warfare, optimization, array processing, machine learning ... Proficiency in C/C++ for embedded or real-time applications. * Active U.S. security clearance.

Senior Software Architect

Carrboro, NC · On-site

$140K - $190K/yr

... embedded systems and mobile platforms to desktop applications to cloud infrastructure * Take a ... Have opportunities to learn more about emerging topics in computer vision, machine learning, and ...

Senior Software Architect

Carrboro, NC · On-site

$140K - $190K/yr

... embedded systems and mobile platforms to desktop applications to cloud infrastructure * Take a ... Have opportunities to learn more about emerging topics in computer vision, machine learning, and ...

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Hourly Embedded Machine Learning information

See Raleigh, NC salary details

$68K

$149.1K

$169.1K

How much do hourly embedded machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for hourly embedded machine learning in Raleigh, NC is $149,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Raleigh, NC?

The most popular types of Embedded Machine Learning jobs in Raleigh, NC are:

Early Career Leadership Development Program: Engineering Technology - Embedded Systems

Raleigh, NC • On-site

Eaton
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees

Full-time

Medical, Retirement

Posted 7 days ago


Key responsibilities

  • Support product engineering projects related to embedded hardware and firmware development for power management products.

  • Participate in rotational assignments supporting specific business units or technologies within the enterprise.

  • Build leadership skills and technical expertise in areas such as IoT, micro-controller firmware, and embedded hardware development.


Eaton rating

7.7

Company rating: 7.7 out of 10

Based on 230 frontline employees who took The Breakroom Quiz

191st of 547 rated manufacturers


Job description

We make what matters work. You want to make an impact in the world. At Eaton, we're solving some of the toughest challenges on the planet.

Our Early Career Programs open up an exciting world of opportunities for you to make a difference on a global scale. Your assignments are more than tasks and busy work, they're your chance to drive innovation in intelligent power management and shape the future of our company. You'll team up with seasoned leaders, gaining diverse experiences that'll drive you forward to define and reach your career goals.

What sets our Early Career Programs apart: Personalized Program Experience: We're committed to energizing your career and empowering your impact. No two participants share the same experience or set of responsibilities. Global Perspectives: Our Development Program spans diverse businesses and locations.

Relocating to an endorsed Eaton site is a required part of the adventure, enhancing your learning and maximizing program benefits. Role Exploration: You'll explore various roles early on and participate in our LDP Core Learning Series. These experiences allow you to build your functional expertise and leadership capabilities to maximize your potential for future roles.

Strategic Networking: Collaborate with senior leaders with mentorship programs woven into your experience. Directly shape peer engagement, learning, development, and the overall participant experience by serving on LDP advisory boards. In our Engineering & Technology Program: You'll support product engineering projects driving the next wave of innovation for Eaton's products.

It's time to make connections, get energized, and power ahead. Eaton provides a competitive total rewards package commensurate with applicable skills, knowledge, and experience and consistent with internal and external market practices. The annual salary for this role is $90,000 (bachelor's degree) with a one-time $10,000 signing bonus or $104,000 (master's degree) with a one-time $15,000 signing bonus.

Position Overview: Are you passionate for innovation and disruptive technology. Our Engineering and Technology Development Program may be for you. This two-year rotational program consists of two unique 12-month assignments.

This development program will provide you with the opportunity to design the world's next intelligent power management solutions and bring them to life. Throughout the program, you will build your leadership aptitude and technical depth in critical and strategic focus areas. The Early Career Leadership Development Program: Engineering and Technology - Embedded Systems track will provide exposure to a combination of hardware and software product development support opportunities.

Rotations will either be supporting a specific business unit/product line or working with broader technologies across the enterprise. Our strategic teams in this area are working on cutting edge technologies including: IoT product application and development Firmware and software development for micro-controllers Development of embedded hardware for power distribution products And more. After completion of the program, your technical expertise combined with your newly acquired business acumen will get you ready to take on larger challenges within the Engineering & Technology function including technical or people leader opportunities.

Required (Basic) Qualifications : Bachelor's or master's degree in electrical or electronics engineering, computer engineering, software engineering, or computer science from an accredited institution, with a graduation date before August 2027 Minimum of one internship/co-op experience or an equivalent of 3 months work experience completed at the time of this application Minimum overall cumulative GPA of 2.8 Must be geographically flexible to relocate within the United States Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc. Preferred Qualifications: Overall cumulative GPA of 3.2 or higher Demonstrated leadership experience within campus and/or community Two or more relevant internships or co-op experiences Experience in embedded systems and exposure to software languages including C, C++, Java, and/or Python Demonstrated exposure to machine learning or AI concepts through coursework, internships, research, or personal projects including experience using AI-assisted development tools (e.g., GitHub Copilot), experience in prompt engineering, and working with generative AI models and simulation tools Position Criteria: Excellent verbal and written communication skills including the ability to effectively explain technical concepts This role may include travel (up to 25%) within a local region as determined by the Engineering & Technology Assignment Manager Demonstrate geographic flexibility to relocate within the United States throughout the duration and completion of the Development Program to an Eaton facility including (but not limited to): Raleigh, NC; Pittsburgh, PA; or Milwaukee, WI We are committed to ensuring equal employment opportunities for all job applicants and employees

Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at 1-800-836-6345 to discuss your specific need.

Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work.

Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.


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About Eaton

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US