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Full Time Graph Theory Jobs (NOW HIRING)

Neurophos Inc

Lead Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

San Jose, CA or Austin, TX. Full-time onsite position. Key Responsibilities: * Design and implement ... Strong background in graph theory and graph transformations in a compiler or optimization context;

Rutgers University

Postdoctoral Associate

Piscataway, NJ · On-site

... graph theory, combinatorics), game theory, machine learning, optimization, privacy, and security ... Position Status Full Time Posting Number 25FA1030 Posting Open Date 10/22/2025 Posting Close Date ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship ... Real world enterprise use cases of graph theory * Gain direct exposure to Fortune 500 clients

ORBIS Inc

$95K - $125K/yr

Advanced mathematics (e.g., tensor calculus, graph theory) * Data storage systems (relational and ... Contribute to product and R&D strategy Employment Type: Full time

Wit

Assistant Professor, Applied Mathematics

Boston, MA

$89K - $106K/yr

The School of Computing and Data Science (SCDS) includes more than 30 full-time faculty who offer ... graph theory, algebra, and modeling. Faculty in SCDS maintain strong collaborative relationships ...

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How much do full time graph theory jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for full time graph theory in the United States is $16.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Full Time Graph Theory vs Full Time Network Analyst?

AspectFull Time Graph TheoryFull Time Network Analyst
Required CredentialsMathematics degree, advanced knowledge of graph algorithmsComputer science or IT degree, network certifications
Work EnvironmentResearch labs, academia, tech companiesCorporate offices, data centers, IT departments
Industry UsageAcademic research, theoretical computer scienceNetwork infrastructure, cybersecurity, data management

Full Time Graph Theory focuses on theoretical research and mathematical modeling of graphs, often in academic or research settings. In contrast, a Full Time Network Analyst applies practical network and infrastructure skills in corporate environments. While both roles involve understanding networks, Graph Theory emphasizes mathematical concepts, whereas Network Analysts focus on real-world network implementation and troubleshooting.

What are full time graph theory jobs?

Full time graph theory jobs are professional positions that focus on the study and application of graph theory, a branch of mathematics concerned with the properties of graphs—structures made up of nodes (vertices) and connections (edges). These roles often involve research, algorithm development, data analysis, or software engineering, and are commonly found in technology companies, research institutions, and academia. Professionals in this field use graph theory to solve problems in areas like network analysis, computer science, bioinformatics, logistics, and social network analysis.

What are the key skills and qualifications needed to thrive as a Graph Theorist, and why are they important?

To thrive as a Graph Theorist, you need a strong background in mathematics, particularly in discrete mathematics and combinatorics, usually supported by an advanced degree in mathematics, computer science, or a related field. Proficiency in mathematical proof techniques, algorithm design, and familiarity with software tools such as SageMath, MATLAB, or Python-based graph libraries is typically required. Analytical thinking, creativity, and effective communication are valuable soft skills that help with problem-solving and collaborating on research or applied projects. These skills and qualities are crucial for developing new theories, solving complex problems, and effectively sharing insights in academic or industry settings.

What are the typical collaborative projects or teams a Full Time Graph Theory specialist works with in an organization?

A Full Time Graph Theory specialist often collaborates with interdisciplinary teams, such as data scientists, software engineers, and network analysts, to solve complex problems related to network structures, optimization, and data relationships. These professionals may contribute to projects involving social network analysis, logistics optimization, or cybersecurity. Regular communication and joint problem-solving with product managers and stakeholders are common, ensuring that graph-based solutions align with business needs and technical requirements. This collaborative environment helps specialists broaden their skill set and gain exposure to different industry applications.
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Full Time Graph Theory jobs near you

Lead Compiler Engineer

Neurophos Inc

Austin, TX • On-site

$250K - $315K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

About Neurophos
The demand for new datacenters and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional silicon. Conquering this bottleneck isn't about bigger chips or more of them; it means rethinking the fundamental architecture. The industry's current path isn't going to meet the need, so we took a different approach.
Instead of traditional electronic circuits, we use silicon photonics and an active, programmable metasurface to perform matrix multiplications at the speed of light. Our optical cells are 10,000x smaller than traditional photonic components, enabling unprecedented density. By using photonics instead of electricity, our chips become more efficient as they scale. This architecture will deliver up to 100 times the energy efficiency of existing solutions while significantly improving performance for large-scale AI inference.
We've assembled a world-class team of industry veterans and recently raised a $110M Series A led by Gates Frontier. Participants include M12 (Microsoft's Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others. We have also been recognized on the EE Times Silicon 100 list for several consecutive years.
Join us and shape the future of computing!
Position Overview:
We are seeking a talented ML Compiler Engineer to join our engineering team and lead the development of our compiler. This role focuses on compiler development for our novel LLM accelerator architecture. This is one of several software stacks that seamlessly bridge high-level AI workloads with our custom hybrid optical-electronic compute hardware, enabling customers to realize game-changing performance.
Location: San Jose, CA or Austin, TX. Full-time onsite position.
Key Responsibilities:
  • Design and implement toolchains for our custom LLM accelerator architecture
  • Develop optimization strategies that bridge software algorithms to hardware implementations
  • Design and implement custom compiler components, including IR dialects, graph transformations, and lowering passes
  • Optimize computational graphs and memory access patterns for our hardware architecture
  • Integrate with existing ML frameworks (e.g., PyTorch, JAX, Triton).
  • Build and maintain test infrastructure to ensure compiler correctness and performance

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or related field
  • 10+ years of industry experience
  • 5+ years of professional experience in systems programming or compiler development
  • Expert-level proficiency in Python and C
  • Experience with hardware compilers
  • Familiarity with Large Language Model architectures and their computational requirements
  • Hands-on experience with compiler frameworks and code optimization techniques
  • Deep understanding of computer architecture, memory hierarchies, and parallel computing concepts
  • Experience with AI/ML accelerators (GPUs, TPUs, FPGAs) and their programming models

Preferred Skills:
  • Master's degree in Computer Science, Computer Engineering, or related field
  • Strong background in graph theory and graph transformations in a compiler or optimization context; MLIR experience is a plus
  • Experience writing programs that parse, analyze, and mutate programs as abstract syntax trees
  • Experience in instrumenting and debugging parallel programs
  • Experience with structured, human-supervised AI/agentic coding workflows
  • Experience with LLM quantization techniques and model optimization
  • Experience with high-performance computing and low-latency system design
  • Familiarity with deep learning frameworks and neural network optimization

Technical Skills
  • Programming Languages: Python and C (essential), Assembly
  • Compiler Frameworks: LLVM, MLIR, GCC, custom backend development
  • Graph Theory: Graph algorithms, graph rewriting systems, DAG optimization
  • AST Processing: Parsing, analysis, and transformation of abstract syntax trees
  • Testing & QA: pytest, GoogleTest, or similar frameworks; static analysis tools
  • CI/CD: Jenkins, GitHub Actions, GitLab CI, or similar systems
  • LLM Technologies: Transformer architectures, attention mechanisms, quantization techniques
  • Development Tools: CMake, Git, Docker
  • Parallel Tools: Profilers, debuggers, and instrumentation for parallel/concurrent programs

Technical Environment
  • Languages: Python and C (primary), Assembly for low-level optimization
  • Compiler Tools: LLVM, MLIR, GCC, custom compiler backends
  • Testing: Automated test suites, continuous integration pipelines
  • Frameworks: PyTorch/JAX/Triton integration, custom inference engines
  • Focus Areas: Compiler backend development, optimization passes, hardware-software co-design

What We Offer
This is an opportunity to play a pivotal role in an innovative startup redefining the future of AI hardware. Work on a game-changing technology at the intersection of photonics and AI as part of a collaborative and brilliant team. You'll contribute to a platform that redefines computational performance and accelerates the future of artificial intelligence. Come help us bring this transformative technology to the world.
Benefits
Join a team that invests in your future and your well-being. At Neurophos, we offer:
  • 100% coverage of base health plan premiums for you and your dependents, plus HSA contributions.
  • Unlimited PTO. No rigid vacation banks, just a focus on delivery.
  • 401(k) matching and stock option opportunities to ensure our success is your success.
  • Full suite of voluntary benefits, including Dental, Vision, Life, Hospital, Critical Illness, and Accident insurance.
  • Personalized Benefits. Choose the plans that fit your life and take the cash back for those that don't.

Apply