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Embedded Machine Learning Internship Jobs in Raleigh, NC

CoVar

Software Engineer

Durham, NC

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)

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... internship, or professional) applying machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch * 6 months or more experience (academic, internship, or professional ...

CoVar

Signal Processing Engineer

Durham, NC

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.

SINNOVATEK SERVICES LLC

Automations Engineer

Middlesex, NC · On-site

$95K - $125K/yr

... machine learning models. ● Work on projects using Python, C++, or similar to interface with ... Prior internships, capstone projects, or personal projects involving automation, robotics, or ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$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 ...

Teledyne

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 ...

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 ...

Teleflex

Pr. Engineer, Software Dev, R&D

Morrisville, NC · On-site

... machine learning (AI/ML), application software, and embedded software systems. This role involves providing strategic cross-functional technical leadership to ensure alignment with best practices and ...

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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 Jul 13, 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 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 July 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.
Sr Software Engineer, AI Tools - Quantizer

Sr Software Engineer, AI Tools - Quantizer

Qualcomm

Raleigh, NC • On-site

$119K - $157K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 209 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation and creates a smarter, connected future. As a Senior Software Engineer in AI Tools, you will develop and implement machine learning techniques for quantization tooling, collaborating with cross-functional teams to optimize AI models on Qualcomm platforms.
Responsibilities:
• Collaborate with cross-functional teams in the AI Software team at Qualcomm to gain knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on Qualcomm AI accelerator IP.
• Validate and optimize the performance and accuracy of quantized models through detailed analysis and testing of machine learning use cases.
• Debug complex issues, perform root cause analysis, and ensure high system reliability.
• Contribute to the team's adoption of agentic AI workflows — leveraging tools such as Claude Code, or similar frameworks — to automate quantization experimentation, hyperparameter search, and model evaluation pipelines.
• Participate in design and code reviews.
• Work independently and lead junior team members. Your decision-making will impact your direct area of work and the work group.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field.
• Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
• 4+ years software development experience using Python and/or C/C++
• Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
• Strong communication skills (verbal, presentation, written)
• Solid understanding of Machine Learning and Deep Learning theory
• Experience working with one of the Deep Learning frameworks like PyTorch, Tensorflow, ONNX, JAX
Preferred:
• 2+ years Python programming experience
• Experience / exposure to Quantization techniques – PTQ, QAT, AWQ, SpinQuant, etc.
• Familiarity with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
• Experience with AIMET, TorchAO or other quantization-focused libraries in the PyTorch ecosystem
• Familiarity with GenAI model architectures and challenges working with them – LLM, LVM, LMM
• Experience with optimizing software, specifically AI graph workloads, for embedded platforms
• Familiarity with agentic AI frameworks (e.g. Claude Code) and experience applying them to automate experimentation or evaluation workflows
• Ability to collaborate across a globally diverse team and multiple interests
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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