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Graph Theory Jobs in Tennessee (NOW HIRING)

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$12

$52

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How much do graph theory jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for graph theory in Tennessee is $52.91, according to ZipRecruiter salary data. Most workers in this role earn between $33.48 and $68.42 per hour, depending on experience, location, and employer.

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 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.

Is graph theory worth studying?

Graph theory is a fundamental area in computer science, mathematics, and network analysis, with applications in data structures, algorithms, and optimization. Studying graph theory can enhance problem-solving skills and open opportunities in fields like software development, data analysis, and research. Proficiency in graph algorithms and tools such as network modeling is valuable for many technical roles.

What are popular job titles related to Graph Theory jobs in Tennessee?

For Graph Theory jobs in Tennessee, the most frequently searched job titles are:

Infographic showing various Graph Theory job openings in Tennessee as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,053 per year, or $52.9 per hour.

Postdoctoral Research Associate - Programming Systems for Extreme Heterogeneity

Oak Ridge National Laboratory

Oak Ridge, TN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 120 rated laboratories


Job description

Requisition Id 16505 

Overview:

The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms such as quantum and analog computational models.

You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs), custom accelerators, and next-generation quantum and analog devices. Your work will contribute to a vision of autonomous system engineering in which AI agents understand algorithmic intent, architectural constraints, and performance models—driving system co-design across the entire computing stack.

Major Duties/Responsibilities:

  • LLVM Compiler Innovation: Advance the LLVM toolchain to support autonomous “closed-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning.
  • HPC System Co‑Design: Investigate methods through which AI agents guide architectural design decisions for massively parallel heterogeneous systems, including pathways that integrate quantum or analog co-processors.
  • Performance Engineering at Scale: Profile, model, and optimize distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints.
  • Cross‑Paradigm Integration(new optional emphasis): Explore how compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework.

Basic Qualifications:

  • Ph.D. in Computer Science, Computer Engineering, or a closely related field.
  • Compiler and Systems Expertise: Strong experience with LLVM (e.g., writing passes, IR transformations) and HPC programming in C++, MPI, OpenMP, CUDA, or related models.
  • Solid understanding of distributed-memory systems and many‑core architectures.

Preferred Qualifications:

  • Formal Methods: Experience with automated reasoning or verification tools (e.g., Z3, TLA+, LEAN) to ensure correctness of compiler- or AI‑generated code.
  • Mathematical Foundations: Background in linear algebra, graph algorithms, and related areas central to dataflow and tensor optimization.
  • Hardware/Software Co‑Design: Familiarity with architectural simulators (e.g., Gem5, SST) or HDLs.
  • Quantum / Analog Computing: Exposure to quantum programming models (e.g., QIR, Q#, Qiskit, Cirq) or analog/neuromorphic systems; interest in integrating these paradigms into unified compilation and optimization strategies.
  • Programming Languages & Frameworks: Experience with Julia, Rust, Python, Kokkos, OpenSHMEM, or similar emerging ecosystem tools.

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Letters of Recommendation:

Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

Security, Credentialing, and Eligibility Requirements:

For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

#LI-DNP

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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