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Math Engineering Jobs in California (NOW HIRING)

Mavrx

Algorithm Test Engineer

San Francisco, CA

Qualifications Education: * BS or greater in math, engineering, physics, statistics, etc. Required Experience: * Proficient in at least one programming language, ideally a statistical analysis ...

Tecolote Research

Space Systems Cost Analyst

El Segundo, CA · On-site

$65K - $80K/yr

A combination of statistical, mathematics, technical/engineering and strategic thinking skillsets is a plus. * Salary Range: $65,000.00 - $80,000.00/Year, DOE Skills Required * BS/BA in Engineering ...

Intrepid Studios

Gameplay Programmer

San Diego, CA

$136K - $151K/yr

Bachelor's degree in CS, Math, Engineering, etc. or equivalent ability or experience * Minimum of 2 years game industry experience, or equivalent * Ability to prioritize, plan, and organize work

Intrepid Studios

Gameplay Programmer

San Diego, CA · On-site

$136K - $151K/yr

Bachelor's degree in CS, Math, Engineering, etc. or equivalent ability or experience * Minimum of 2 years game industry experience, or equivalent * Ability to prioritize, plan, and organize work

Art of Problem Solving

Math Curriculum Developer

San Diego, CA · On-site

$49K - $65K/yr

We seek Math Curriculum Developers to shape innovative and engaging mathematical learning opportunities for motivated K-12 students. The Math Curriculum Developer will be: * Expanding and refining ...

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All JobsMath Engineering JobsMath Engineering Jobs in California

Math Engineering information

See California salary details

$22.2K

$58.1K

$93.3K

How much do math engineering jobs pay per year?

As of Aug 15, 2026, the average yearly pay for math engineering in California is $58,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,400.00 and $69,100.00 per year, depending on experience, location, and employer.

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.

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 mathematical principles and techniques to solve complex problems in engineering, technology, and scientific fields. They develop models, algorithms, and simulations, often using programming tools like MATLAB or Python, to optimize systems and processes. Their work supports innovation in areas such as data analysis, machine learning, and product design.

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 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 popular job titles related to Math Engineering jobs in California?

For Math Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Math Engineering jobs in California look for?

The top searched job categories for Math Engineering jobs in California are:

What cities in California are hiring for Math Engineering jobs?

Cities in California with the most Math Engineering job openings:

Math Engineering jobs near you
Infographic showing various Math Engineering job openings in California as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $58,067 per year, or $27.9 per hour.

Algorithm Test Engineer

Mavrx

San Francisco, CA

Full-time

Re-posted 19 days ago

Job description

Company Description

Mavrx uses aerial imaging to bring the benefits of big data to the $1 Trillion agriculture industry. With our easy-to-use web and mobile interfaces, growers get real-time information on their entire farm without having to physically walk the fields. Using frequent imagery (from drones, planes, & satellites), and proprietary crop-specific analytics, we measure plant health and identify issues before they are visible to the naked eye.

Job Description

We are looking for a self directed, critically minded engineer/scientist/statistician to develop and maintain test suites for a line of machine vision and biometrics estimation algorithms.  


Responsibilities include 

  • Develop automated system to run continuous regression tests against ground truth annotated images.  
  • Work with algorithm developers to design tests that qualify algorithms to perform in a robust and well characterized manner on real world noisy images.  
  • Generate statistical reports highlighting failure modes, frequencies, error distributions, etc.  
  • Gather, curate and annotate large development and test data sets.  
  • Work with domain experts to understand proper annotations and target values.  
  • Develop annotation tools. Annotate some data and manage contract annotators.  
  • Exploit opportunities for automation using simulators, approval of algorithm generated annotations, etc.  
  • Write simulations; de novo and various simulated distortions and corruptions of real data.  
  • Instrument algorithm code, white box testing. Aid in the design of metrics that indicate algorithm failure.  


Qualifications

Education:

  • BS or greater in math, engineering, physics, statistics, etc. 

Required Experience:

  • Proficient in at least one programming language, ideally a statistical analysis language like Matlab, R, etc.  

Desired Experience:

  • Statistically analyzing large data sets, ideally in a QC setting. Skilled with JMP, Statistica, SAS, or similar.  
  • Image processing, Machine vision, machine learning. Estimation theory.  
  • Familiarity with various standard image and data formats, databases. SQL, XML, JSON, HTML, etc.  
  • GIS, remote sensing. 
Additional Information

Position Details

This is a full-time salaried position with stock options and benefits.

How to Apply

Please send the following to jobs AT mavrx.co

  • Tell us why you're interested in Mavrx.

  • Your CV/resume

Apply