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Phd Math Jobs in Boulder, CO (NOW HIRING)

General Atomics

Software Developer IV

Aurora, CO · On-site

$105K - $189K/yr

... a PhD. May substitute equivalent experience in lieu of education. * Strong foundation in mathematics, computer networking, communication protocols, and/or data exchange formats. * Experience ...

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Phd Math information

See Boulder, CO salary details

$8

$28

$40

How much do phd math jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for phd math in Boulder, CO is $28.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $30.43 per hour, depending on experience, location, and employer.

What is the salary of a PhD in math?

A PhD in math can lead to roles such as researcher, data scientist, or university professor, with salaries typically ranging from $70,000 to over $150,000 annually depending on experience, industry, and location. Academic positions often start lower but increase with tenure and specialization, while industry roles tend to offer higher compensation for advanced analytical skills.

What are PhD math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What jobs can a PhD in math get?

A PhD in math can lead to careers in academia as a university professor, in research roles within government agencies or private industry, or in data analysis, quantitative finance, and actuarial science. These positions often require strong analytical, problem-solving, and programming skills, and may involve working with large datasets or developing mathematical models.

What are the key skills and qualifications needed to thrive as a PhD-level mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Is a PhD in math useful?

A PhD in math is highly valuable for careers in academia, research, data science, and quantitative analysis, where advanced analytical and problem-solving skills are essential. It can also open opportunities in industry sectors such as finance, technology, and engineering, often requiring expertise in mathematical modeling and programming tools like MATLAB or Python.

Do math PhDs make good money?

Math PhDs often pursue careers in academia, research, data science, or finance, where salaries can vary widely. In industry roles such as quantitative analysis or data science, they can earn competitive salaries, often higher than those with only a master's degree, especially with experience and specialized skills. However, academic positions may offer lower pay compared to private sector roles.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.
What are popular job titles related to Phd Math jobs in Boulder, CO? For Phd Math jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Phd Math jobs in Boulder, CO look for? The top searched job categories for Phd Math jobs in Boulder, CO are:
Phd Math jobs near you
Infographic showing various Phd Math job openings in Boulder, CO as of August 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $59,942 per year, or $28.8 per hour.

Principal Algorithms Software Engineer

Grey Matters Defense Solutions

Boulder, CO • On-site

$132K - $198K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description

Position:  Principal/Sr. Principal Software Engineer
Location: Boulder, CO
Clearance: Secret Clearance
Grey Matters Defense Solutions specializes in software development and solutions, specialized data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and various applications.

About the job:

• Solve real world problems relevant to the Intel Community (IC) and Department of Defense (DoD) using a combination of FOSS/GOTS/COTS software and hardware.
• Contribute to all aspects of project software development lifecycle from research, prototyping solutions to assess feasibility, integration with external software systems, development, and product deployment. Key

Grey Matters Defense Solutions is seeking a talented and dedicated, Principal / Senior Principal Algorithms Software Engineer
Position Overview:
 
As a Senior Principal Algorithms Software Engineer, you will be responsible for designing, developing, testing, documenting, and debugging software and complex mathematical algorithms. This fast-paced and cutting-edge research and development environment will rely on your familiarity with modern software practices. You are expected to communicate technical information effectively and clearly, and present technical approaches and findings. Our team of motivated technical talent works closely with the end user (and each other) to ensure the direct mission applicability of developed products.
 
Essential Functions:
  • Breadth and depth in the application of mathematics to perform data analysis and algorithm development for missile tracking applications.
  • Development and performance analysis of tracking and state estimation algorithms.
  • Tool and prototype development using Modern C++ and Python.
  • Algorithm defect tracking and resolution.
  • Technical Documentation as required.
  • Work in cross-discipline teams and communicate clearly across various levels of engineers.
 
Seeking candidates who find satisfaction in working on challenging and diverse assignments in collaborative settings across all levels.
 
Basic Qualifications:
 
  • Principal Algorithm Software Engineer: Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 5 years of related experience, or a Master’s degree in a STEM discipline and 3 years experience, or a PhD and 1 year of experience.
  • Sr. Principal Algorithm Software Engineer: Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 8 years of related experience, or a Master’s degree in a STEM discipline and 6 years experience, or a PhD and 4 year of experience.
  • Applicants must have a minimum of 1 year of software development experience with Python and/or C++.
  • Applicants must have Linux experience and working knowledge of common utilities like grep, awk, cat head, etc.
  • Experience developing, analyzing, testing, and implementing extendable / reusable algorithms.
  • Applicants must have algorithm design and state estimation experience.
  • Experience with data analysis - Population statistics and trend identification.
  • The ability to bridge between theoretical concepts and practical implementation.
  • Ability and willingness to travel up-to 10% to support business needs.
  • Applicants must have a current active in-scope U.S. Government issued Secret security clearance at the time of application which is required to start; with the ability to obtain and maintain a TS/SCI clearance.
 
Preferred Qualifications:
  • A current active in-scope U.S. Government DoD issued Top Secret security clearance.
  • Strong statistical background and skills.
  • Experience in tracking and prediction algorithms, simulation, and validation.
  • Experience with multiple hypothesis tracking.
  • Experience in the numerical implementation of motion filters.
Salary Range: $132,000 - $198,000 + 25%SEP

Grey Matters Defense Solutions, LLC offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term, long-term disability, and voluntary benefits such as accident, hospital indemnity, and wellness benefits. 
Additional Benefits:

  • 25% (of salary) employer contribution distributed monthly to your SEP IRA
  • Individual Benefit Account 25% (of salary to pay for medical insurance premiums and funded time off)
  • Employee assistance program
  • Employee discount
  • Health savings account
  • Referral program

Grey Matters Defense Solutions’ most valuable assets are the more than 60 employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with deep understanding of managing and delivering products within government systems. Grey Matters Defense Solutions provides transformational leadership building aware-winning teams and products.

Visit us at Grey Matters Defense Solutions
https://www.linkedin.com/company/grey-matters-defense-solutions/

“Know Your Rights: Workplace Discrimination is Illegal”
Questions contact: jenny.rosenberg@greymattersdefense.com

  • All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
  • Grey Matters Defense Solutions, LLC participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
  • Grey Matters Defense Solutions, LLC complies with the Colorado Artificial Intelligence Act (CAIA) and maintains policies, controls, and oversight practices designed to mitigate algorithmic discrimination, promote transparency, and ensure responsible use of AI systems in accordance with Colorado law.

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