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Machine Learning Engineer Quantization Jobs in Raleigh, NC

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

Job Summary : Qualcomm Technologies, Inc. is focused on advancing machine learning compiler ... Required : • Bachelor's degree in Computer Science, Electrical Engineering, or related field and ...

Deloitte

AI Solutions Architect

Raleigh, NC

$61.25 - $80.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

CoVar

Software Engineer

Durham, NC · On-site

They are seeking a motivated Software Engineer to develop and maintain applications that involve data processing and machine-learning algorithm integration. Responsibilities : • develop and ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are looking for an experienced CI Infrastructure Engineer to own and evolve the continuous integration (CI ...

CoVar

Software Engineer

Durham, NC · On-site

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... We build advanced software and machine learning systems that help the Department of Defense detect ...

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 ... engineering logs. ● Ensure safe and organized work areas in labs and on production floors. ● ...

DPR Construction

MLOps Engineer

Raleigh, NC · On-site

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Telus Digital

Senior Google CX Engineer (GECX)

Durham, NC · On-site +1

$101K - $138K/yr

Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. * Practical expertise with Google Customer ...

DPR Construction

MLOps Engineer

Raleigh, NC · On-site

We are looking for a MLOps Engineer to join our team and contribute to developing robust data solutions to support our Machine Learning, Data Science, Data Engineering and Software Engineering.

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$101K - $139K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... The role involves developing robust AI infrastructure and deployment services for machine learning ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

The engineer applies deep learning technologies to enable computers to visualize, learn, and ... Develop and implement AI and machine learning strategies across several healthcare domains

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Raleigh, NC

Machine Learning Engineer Quantization information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

How much do machine learning engineer quantization jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning engineer quantization in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a Machine Learning Engineer Quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Raleigh, NC? For Machine Learning Engineer Quantization jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Engineer Quantization jobs? Cities near Raleigh, NC with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Software Engineer, AI Tools - Delegate

Software Engineer, AI Tools - Delegate

Qualcomm

Raleigh, NC • On-site

Full-time

Posted 5 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 205 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Job Description
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 the Qualcomm AI Runtime (QAIRT) delegate for both the ExecuTorch, ONNX Runtime and LiteRT frameworks enabling efficient AI inference on edge devices. 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.
Additional Job Description
Responsibilities
  • Design and develop the graph compilation stack that lowers the ExecuTorch Edge IR, ONNX and LiteRT graphs to QAIRT APIs.
  • 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 software 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 testing, benchmarking, and development activities.
  • Participate in design and code reviews.

Minimum Qualifications
  • 2+ years software development experience using C/C++/Python
  • 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)
  • Foundational knowledge of Machine Learning and Deep Learning
  • Experience working with one of the Deep Learning frameworks like TensorFlow, PyTorch, ONNX, JAX

Preferred Qualifications
  • 1+ years Python programming experience
  • Experience with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
  • Experience with Graph Compilation technologies, like MLIR, a plus
  • Familiarity with ExecuTorch, TorchAO, and other related technologies in the PyTorch ecosystem
  • Familiarity with TfLite, LiteRT, TF, and other related technologies in the TF ecosystem
  • Familiarity with GenAI model architectures - LLM, LVM, LMM
  • Experience with optimizing software, specifically AI graph workloads, for embedded platforms
  • Interest in or exposure to agentic AI frameworks (e.g. Claude Code) and their application to development or testing automation
  • Ability to collaborate across a globally diverse team and multiple interests

Education Requirements
  • Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
  • Preferred: Master's in Computer Science or Computer Engineering

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.

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About Qualcomm

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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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