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Graph Theory Jobs in Raleigh, NC (NOW HIRING)

... 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 ...

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 ...

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Graph Theory information

See Raleigh, NC salary details

$14

$16

$17

How much do graph theory jobs pay per hour?

As of Jun 9, 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 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 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:
What job categories do people searching Graph Theory jobs in Raleigh, NC look for? The top searched job categories for Graph Theory jobs in Raleigh, NC are:
Machine Learning Compiler

Machine Learning Compiler

Qualcomm

Raleigh, NC

$160K - $240K/yr

Other

Posted 4 days ago


Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 186 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI accelerators for the Cloud and Datacenter market. This role combines deep technical expertise with strategic leadership to deliver high-performance compiler solutions that enable next-generation AI workloads.
Key Responsibilities:
Technical Leadership:
  • Drive innovation in ML compiler optimization algorithms, leveraging advanced mathematics, programming language theory, and modern compiler techniques.
  • Oversee feature design, code reviews, and integration of compiler components into the AI software stack.
  • Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets.
Team & Project Management:
  • Manage and mentor a team of engineers, fostering technical growth and collaboration.
  • Plan and execute projects to meet release deliverables, balancing tactical improvements with strategic roadmap goals.
  • Coordinate cross-functional efforts with hardware, architecture, and AI framework teams.
  • Strategic Vision:
    • Shape the evolution of ML compiler technology within the organization, aligning with industry trends and internal product strategies.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field and 10+ years of relevant experience; OR
  • Master's degree and 8+ years of experience; OR
  • Ph.D. and 6+ years of experience in compiler development, ML systems, or related areas.
Preferred Skills & Experience:
  • Strong background in compiler design (LLVM, optimization passes, IR transformations).
  • Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations.
  • Familiarity with ML hardware accelerators, memory hierarchies, and performance modeling.
  • Solid C++ programming skills
  • Proven ability to lead teams and deliver complex software projects in fast-paced environments

Why Join Us?
You'll work on state-of-the-art ML compilers, applying advanced algorithms to optimize AI workloads for next-generation hardware. If you're passionate about pushing the boundaries of compiler technology and leading impactful teams, this is the role for you.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ 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 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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:
$160,600.00 - $240,800.00
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

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