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Embedded Machine Learning Internship Jobs in Raleigh, NC

Senzit

Firmware Engineer

Raleigh, NC · On-site

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 ...

Senzit

Firmware Engineer

Raleigh, NC · On-site

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 ...

Vadum Inc

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 ...

Vadum Inc

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 ...

CoVar

Signal Processing Engineer

Durham, NC · On-site

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.

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be for one or two semesters with the possibility of renewal. Note that this position is only for teaching ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be for one or two semesters with the possibility of renewal. Note that this position is only for teaching ...

Pentair

Data Architect

Apex, NC · On-site

$110K - $205K/yr

Experience with IoT telemetry, embedded systems, or connected consumer products. * Familiarity with event hubs, message brokers, and time-series databases. * Exposure to analytics, machine-learning ...

Pentair

Data Architect

Apex, NC · On-site

$48.75 - $62.75/hr

... machine learning initiatives, including anomaly detection, predictive models, and automation ... telemetry, embedded systems, or connected consumer products. • Familiarity with event hubs ...

Teledyne

Research Scientist

Durham, NC

... learning, machine learning, persistent surveillance, autonomous systems, and computer vision. The ... Design and implement advanced algorithms on PC, GPU, and embedded architectures * Perform ...

Teledyne FLIR LLC

Research Scientist

Durham, NC · On-site

... learning, machine learning, persistent surveillance, autonomous systems, and computer vision. The ... Design and implement advanced algorithms on PC, GPU, and embedded architectures * Perform ...

Clever Devices Ltd.

Associate

Apex, NC · On-site

$70K - $75K/yr

... building, machine learning, causality, and general data analysis. As this position is customer ... Prior internship or other work experience in a corporate environment. * Basic understanding of ...

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All JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Raleigh, NC

Embedded Machine Learning Internship information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of Jun 22, 2026, the average yearly pay for embedded machine learning internship in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
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:
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What job categories do people searching Embedded Machine Learning Internship jobs in Raleigh, NC look for? The top searched job categories for Embedded Machine Learning Internship jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Embedded Machine Learning Internship jobs? Cities near Raleigh, NC with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% Internship, 39% Full Time, 57% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.
Firmware Engineer

Firmware Engineer

Senzit

Raleigh, NC • On-site

Full-time

Posted 26 days ago

Job description

Firmware Engineer
Senzit focuses on empowering businesses with a next-generation predictive maintenance platform to increase uptime and reduce organizational waste. Join us to develop new technology that will provide Senzit a competitive advantage in the Industrial IoT (IIoT) market. If you find it exciting to work in a dynamic team with a global customer base, then we have your opportunity.
As a Firmware Engineer, you will be part of a high-performance Software team that has a culture of open communication, innovation, teamwork and customer success.
Roles and responsibilities may include working on some of the most difficult and interesting embedded problems. The candidate will be responsible for the following:
  • Actively participating in all stages of firmware development life cycle (e.g. requirements definition, research, code design/development, unit test development, board debug, etc.)
  • Work closely with the Product team to investigate technologies and solutions to implement the product roadmap.
  • Design, develop, test and debug embedded firmware code.
  • Design for testability

The ideal candidate should possess the following:
  • Excellent analytical and communication skills.
  • Be a problem solver.
  • Action oriented and a self-starter.

Minimum Qualifications
  • Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
  • 3+ years of experience (1+ year with a Master's) inclusive of:
    • Software development (C or C++)
    • Embedded programming (e.g. microcontrollers, firmware design, debug, etc.)

Preferred Qualifications
  • Experience with IoT product development
  • Experience with full product development cycle

About Senzit
From the construction industry to the energy sector, Senzit harnesses the power of condition-based logic and machine learning algorithms to deliver real-time machine data and actionable insights to the user anytime, anywhere. Senzit is headquartered in Raleigh, NC with customers around the world.

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