1

Graph Theory Jobs in Raleigh, NC (NOW HIRING)

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

... language theory, and modern compiler techniques. * Oversee feature design, code reviews, and ... Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations. * Familiarity with ML ...

next page

Showing results 1-20

Graph Theory information

See Raleigh, NC salary details

$14

$16

$17

How much do graph theory jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for graph theory in Raleigh, NC is $16.13, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $16.83 per hour, depending on experience, location, and employer.

What careers use graph theory?

Graph theory is used in careers such as data scientist, network analyst, operations researcher, and computer scientist, where analyzing relationships and optimizing networks are essential. Professionals in these fields often use graph algorithms and tools to solve complex problems related to connectivity, routing, and scheduling.

What can I do with graph theory?

Graph theory is used in various fields such as computer science, network analysis, logistics, and data modeling. Professionals can work on designing algorithms, optimizing networks, analyzing social connections, or developing software that involves graph structures. Skills in programming, mathematics, and tools like network analysis software are often required for these roles.

What are the key skills and qualifications needed to thrive in the Graph Theory position, and why are they important?

To excel in a Graph Theory role, candidates typically need strong mathematical analysis skills, a background in discrete mathematics or computer science, and often an advanced degree such as a Master's or Ph.D. in a related field. Familiarity with programming languages such as Python or C++, alongside expertise in relevant computational libraries and algorithm development tools, is highly valued. Strong problem-solving abilities, attention to detail, and collaborative communication enhance performance in team-based research or applied project settings. These combined skills are critical for developing innovative solutions to complex problems and advancing the practical applications of graph theory across fields like network analysis, data science, and logistics.

What is the highest paid math job?

In the field of graph theory, roles such as data scientists, quantitative analysts, and research scientists often have the highest salaries, especially in finance, technology, and consulting industries. These positions typically require advanced degrees, strong programming skills, and expertise in mathematical modeling, with top earners making six-figure salaries or more.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often in roles related to cryptography, data analysis, and cybersecurity. These positions typically require strong analytical skills, a background in mathematics or related fields, and security clearance. Mathematicians in the FBI may work on intelligence analysis, code-breaking, or developing algorithms for investigations.

What is a Graph Theory job?

A Graph Theory job involves applying mathematical concepts of graphs—nodes (vertices) connected by edges—to solve complex problems in computer science, data analysis, networking, and optimization. Professionals in this field work in areas such as cybersecurity, machine learning, bioinformatics, and logistics, designing algorithms and models for efficient processing of interconnected data. Roles may include research scientists, data scientists, software engineers, or operations researchers. Strong skills in discrete mathematics, algorithm design, and programming (e.g., Python, C++, or R) are typically required.

What are some of the primary industries that employ professionals specializing in Graph Theory?

Professionals with expertise in Graph Theory are highly sought after in industries such as technology (especially in software development and artificial intelligence), telecommunications, logistics and transportation, and finance. They often work on optimizing networks, analyzing large data sets, designing algorithms, or modeling complex systems. These roles can be found at research institutions, universities, tech companies, and consulting firms. Depending on the industry, you may collaborate with data scientists, engineers, and other specialists to solve unique and impactful challenges.

What are popular job titles related to Graph Theory jobs in Raleigh, NC? For Graph Theory jobs in Raleigh, NC, the most frequently searched job titles are:
Sr Software Engineer, AI Tools - Quantizer

Sr Software Engineer, AI Tools - Quantizer

Qualcomm

Raleigh, NC • On-site

$119K - $157K/yr

Full-time

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 202 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 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 participate in the agentic transformation of Qualcomm's development and tooling workflow. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.
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 and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
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.
OR
PhD 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.
  • 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.

Minimum Qualifications
  • 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 Qualifications
  • 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

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:
$126,700.00 - $190,100.00
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

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