ZipRecruiter

Log In

1

Hourly Embedded Machine Learning Jobs in North Carolina

Qualcomm

Machine Learning Engineer

Raleigh, NC · On-site

As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge machine ... Strong understanding of embedded systems and system design fundamentals * Well versed in version ...

NextDeavor Inc.

Embedded Data Scientist

Morrisville, NC

$130K - $150K/yr

At least 2 years of experience with machine-learning frameworks such as TensorFlow and Keras * At least 2 years of experience in Python * At least 1 year of experience in C, Rust, or other embedded ...

CoVar

Software Engineer

Durham, NC · On-site

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

Deloitte

Cyber - SecOps - Consultant

Raleigh, NC · On-site

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

Deloitte

Cyber - SecOps - Consultant

Charlotte, NC · On-site

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

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

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)

GreySource

Be Seen First

Embedded Automation Technician: NIGHTS

Durham, NC · On-site

$42 - $51/hr

... keep learning: * Industrial maintenance, automation, or material handling experience * PLC ... In person If this resonates with you: ..."WHEN MACHINES HAVE BAD DAYS, WE SEND YOU"... Let's talk ...

next page

Showing results 1-20

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in North Carolina

Hourly Embedded Machine Learning information

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.

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 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.

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 North Carolina? The most popular types of Embedded Machine Learning jobs in North Carolina are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in North Carolina? For Hourly Embedded Machine Learning jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in North Carolina look for? The top searched job categories for Hourly Embedded Machine Learning jobs in North Carolina are:
What cities in North Carolina are hiring for Hourly Embedded Machine Learning jobs? Cities in North Carolina with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

Qualcomm

Raleigh, NC • On-site

Full-time

Posted 4 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.
In this position you will be responsible for contributing to the software design and development of quantization tooling within the AISW Tools team. Our inference engine empowers developers to deploy neural network models on Snapdragon platforms at exceptional speeds while maintaining minimal power consumption. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. You will participate in the agentic transformation of Qualcomm's development and tooling workflow.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
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.
  • Participate in the team's adoption of agentic AI workflows - leveraging tools such as Claude Code, or similar frameworks - to help automate quantization experimentation and model evaluation pipelines.
  • Participate in design and code reviews.

Minimum Qualifications
  • Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
  • Strong programming skills in C++ and Python
  • Solid understanding of Machine Learning and Deep Learning theory
  • Proficiency in data structures, computer system architecture, and multi-threaded programming
  • Familiarity with Linux environments
  • Strong analytical and debugging skills
  • Excellent communication skills (verbal, presentation, and written)

Preferred Qualifications
  • Hands-on experience with DL frameworks: PyTorch, ONNX, etc.
  • Experience or familiarity with quantization techniques - PTQ, QAT, AWQ, SpinQuant, etc.
  • Experience or familiarity with Generative AI (GenAI) concepts and technologies
  • Strong understanding of embedded systems and system design fundamentals
  • Well versed in version control tools like git and build tools like cmake
  • Awareness / exposure to agentic AI frameworks (e.g. Claude Code) and their application to development or testing automation

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$110,600.00 - $165,800.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Qualcomm logo

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

View All Qualcomm Jobs

Apply