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Hourly Embedded Machine Learning Jobs in Raleigh, NC

CoVar

Software Engineer

Durham, NC · On-site

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)

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

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

... Machine Learning Operations (MLOps) pathway. This pathway will bridge ongoing work in computer vision and embedded software within PSI, as well as data infrastructure efforts being developed in ...

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 · 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 ...

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 ...

Clever Devices Ltd.

Associate

Apex, NC · On-site

$70K - $75K/yr

This role also encompasses support for trouble shooting, report/dashboard building, machine learning, causality, and general data analysis. As this position is customer facing, being customer focused ...

Rambus

MTS Digital Engineering

Morrisville, NC · Hybrid

$58K - $108K/yr

Digital Integrated Circuits, Advanced VLSI Systems, Advanced Computer Architecture, Embedded Systems, Design and Analysis of Algorithms, Fundamentals of Machine Learning * Background in Digital RTL ...

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Hourly Embedded Machine Learning information

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$68K

$149.1K

$169.1K

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

As of Jul 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 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 Raleigh, NC? The most popular types of Embedded Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Raleigh, NC? For Hourly Embedded Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Raleigh, NC are:
Hourly Embedded Machine Learning jobs near you
Sr Software Engineer, AI Tools - Quantizer

Sr Software Engineer, AI Tools - Quantizer

Qualcomm

Raleigh, NC • On-site

$119K - $157K/yr

Full-time

Re-posted 17 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 204 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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