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Tensorflow Pytorch Jobs in Graham, NC (NOW HIRING)

CoVar

Machine Learning Engineer

Durham, NC · On-site

PYTORCH or TensorFlow; CI/CD pipelines and regression testing • AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision ...

DPR Construction

MLOps Engineer

Raleigh, NC · On-site

Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience with ...

CoVar

Machine Learning Engineer

Durham, NC

PYTORCH or TensorFlow; CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques. * Experience with database querying (e.g., SQL). Choose Duke. Why Join DUMAC? * Impact: Play a ...

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

Knowledge of front-end ML frameworks (i.e.,TensorFlow, PyTorch) used for training of ML models * Strong communication skills (written and verbal) * Detail-oriented with strong problem-solving ...

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques. * Experience with database querying (e.g., SQL). Choose Duke. Why Join DUMAC? * Impact: Play a ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

Socket.dev

Software Engineer

Carrboro, NC · On-site

$80 - $110/hr

Experience with deep learning libraries (PyTorch, TensorFlow, etc.). * Familiarity with both classical and modern (deep learning) machine learning, including model selection, architecting, training ...

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Tensorflow Pytorch information

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$30.1K

$98.6K

$157.9K

How much do tensorflow pytorch jobs pay per year?

As of Aug 26, 2026, the average yearly pay for tensorflow pytorch in Graham, NC is $98,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $109,300.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What job categories do people searching Tensorflow Pytorch jobs in Graham, NC look for?

The top searched job categories for Tensorflow Pytorch jobs in Graham, NC are:

What cities near Graham, NC are hiring for Tensorflow Pytorch jobs?

Cities near Graham, NC with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you

Software Engineer, AI Tools - Delegate

Raleigh, NC • On-site

Qualcomm
Technology, Communication and Media • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies

Good employer

Paid breaks

Respectful managers

Learn more about Qualcommexternal

Full-time

Re-posted 21 days ago

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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