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Math Engineering Jobs (NOW HIRING)

Sarian Solutions

Sr. Java/SQL Developer

Orlando, FL · On-site

Bachelors degree or higher in IT, Business, Math, Engineering, or related field J2SE 1.6/1.7 MVC Pattern Servlets JSP RMI AWT Spring Tomcat 5.5/7 Apache CXF Eclipse Subversion Jenkins JUnit JavaDoc ...

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Math Engineering information

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$22.5K

$58.8K

$94.5K

How much do math engineering jobs pay per year?

As of Aug 26, 2026, the average yearly pay for math engineering in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is math engineering?

Math engineering is a multidisciplinary field that applies advanced mathematical theories, techniques, and computational methods to solve engineering problems. Professionals in this area use mathematics to model, analyze, and optimize systems in industries such as technology, finance, aerospace, and manufacturing. Typical tasks include developing algorithms, performing simulations, and interpreting complex data to improve processes or products. Math engineers often work closely with other engineers and scientists to design efficient solutions to real-world challenges.

What are the key skills and qualifications needed to thrive as a math engineer?

To thrive as a Math Engineer, you need a strong background in applied mathematics, computational methods, and a relevant engineering discipline, usually supported by a degree in mathematics, engineering, or a related field. Proficiency in programming languages (such as MATLAB, Python, or C++), mathematical modeling software, and familiarity with simulation tools are typically required. Analytical thinking, problem-solving abilities, and effective communication skills are essential soft skills to excel in this role. These skills and qualities are crucial for accurately modeling complex systems, developing innovative solutions, and effectively collaborating with multidisciplinary teams.

How does a math engineer typically collaborate with software developers and data scientists on interdisciplinary projects?

Math Engineers often work closely with software developers and data scientists to design and implement mathematical models and algorithms. Collaboration involves translating complex mathematical concepts into practical computational solutions, validating results, and optimizing performance. Regular meetings, code reviews, and shared documentation help ensure alignment across teams, and strong communication skills are essential for explaining technical details to non-specialists. This interdisciplinary teamwork is common in industries like finance, technology, and engineering, leading to innovative solutions and continuous learning opportunities.

What is the difference between Math Engineering vs Data Scientist?

AspectMath EngineeringData Scientist
Required CredentialsMathematics, Engineering, Computer Science degreesStatistics, Computer Science, Mathematics degrees
Work EnvironmentResearch labs, R&D departments, technical teamsBusiness settings, analytics teams, tech companies
Employer & Industry UsageTech firms, engineering companies, financeTech, finance, healthcare, marketing
Common Search & ComparisonMath Engineering vs Data Scientist

Math Engineering focuses on applying advanced mathematical techniques to develop engineering solutions, often in R&D or technical roles. Data Scientists analyze large datasets to extract insights, primarily supporting business decisions. While both roles require strong math skills, Math Engineering emphasizes engineering applications, whereas Data Science centers on data analysis and modeling.

What does a math engineer do?

A math engineer applies advanced mathematical techniques to solve complex problems in engineering, data analysis, and technology development. They often work with modeling, simulations, algorithms, and statistical methods using tools like MATLAB, Python, or R to optimize systems and improve processes.
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Math Engineering jobs near you
Infographic showing various Math Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

MT Systems Engineering Specialist with Security Clearance

El Segundo, CA • On-site

Tecolote Research
Business Management Consulting • 501 - 1,000 employees
Learn more about Tecolote Researchexternal

$95K - $120K/yr

Contractor

Re-posted 9 days ago

Job description

Overview The Senior-Level MT Systems Engineering Specialist performs a variety of expert technical management and systems engineering duties throughout the Resilient MW/MT program lifecycle. In support of the Space Systems Command (SSC) SYD 84/MT programs at LA AFB, CA, this role directly supports Senior Program Managers (SPMs) by advising and managing all pre- and post-contract award technical requirements. Responsibilities * In this role, you will manage pre- and post-contract award technical requirements and execution, including ICD compliance, risk management, and T&E oversight. * You will interact with a multidisciplinary DoD technical workforce and defense hardware contractors in the accomplishment of your duties. * You will evaluate architectural strategies and support the SPM in preparing for critical reviews, including PMRs, QPRs, and Congressional inquiries. * Responsibilities and tasks will also include: * Providing direct Systems Engineering support for Epoch 1/2. * Ensuring alignment of technical execution with established systems engineering plans and architectures. Skills Required * At least 10 equivalent years of experience performing Systems Engineering activities in the government (military and/or civil servant), federally funded research and development center, or profit / non-profit government support / development Contractor arena. * Knowledge of various quantitative techniques used to analyze technical data, develop models, interpret results, and brief senior-level DoD leadership. * Must be able to work independently, as well as with a team, on time-sensitive high-visibility tasks. * Excellent written and verbal communication skills. * Strong analytical skills and problem-solving abilities. * Demonstrated knowledge of technical management, risk management, and systems engineering practices associated with Major Defense Acquisition Programs. * Active DoD Secret Clearance (required). * US citizenship (required). * Salary range: $95,000 - $120,000 / Year, DOE Education Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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