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Full Time Graph Theory Jobs (NOW HIRING)

Waabi

Senior / Staff Software Engineer, Localization

$141K - $242K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... graph optimization, Kalman filters, etc. - Develop highly optimized, low-latency Rust code that ... theory. - A proven track record of deploying complex state estimation algorithms onto physical ...

Category Labs

Senior Software Engineer, Compiler

New York, NY · On-site +1

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

For example, you will you will work on a bytecode execution graph builder which will enable ... Knowledge of type theory is a plus Why Work with Us * Challenging problems: You'll work on ...

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Full Time Graph Theory information

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

As of Aug 16, 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 is a full time graph theory job?

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.

What careers use full time graph theory?

Full-time graph theory is used in careers such as network analysis, computer science, data science, operations research, and algorithm development. Professionals in these fields apply graph algorithms to solve problems related to connectivity, optimization, and data structures, often utilizing tools like graph databases and programming languages such as Python or C++.
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Full Time Graph Theory jobs near you
Infographic showing various Full Time Graph Theory job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $35,000 per year, or $16.8 per hour.

Senior / Staff Software Engineer, Localization

Waabi

Pittsburgh, PA

$141K - $242K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now?  As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. 
 
You will...
- Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.
- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.
- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.
- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.
- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.
- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks.
 
Qualifications:
- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping). 
- Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).
- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).
- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.
- Proficiency in python for data analysis, prototyping, and tooling.
- Strong mathematical foundation in linear algebra, calculus, and probability theory.
- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. 
 
Bonus/nice to have:
- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).
- Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.
- Experience with high-speed highway autonomous driving constraints.
The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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