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Remote Mathematical Engineer Jobs in Atlanta, GA

GenAI Systems Developer

Atlanta, GA ยท Remote

$185K - $215K/yr

  • Medical

  • Retirement

  • PTO

You will work remotely in a remote-first environment alongside a highly skilled team of engineers ... Graduate or doctoral studies in physics, engineering, math, computer science, or a related ...

Principal Data Scientist

Atlanta, GA ยท On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Bachelor's or master'sdegree in computer science, Statistics, Mathematics, Engineering, or related ...

This is a remote opportunity, must be located in United States. As an Appian Architect you will ... Bachelor's Degree in MIS, Computer Science, Math, Engineering or comparable major. * Solid ...

Civil Designer Intern

Conyers, GA ยท On-site +1

$14 - $18.25/hr

Conyers, GA / Remote or Hybrid (Multiple Raymond Offices) About Raymond: Raymond is a ... Strong math, science, and analytical skills * * Interest in engineering design, drafting, and ...

Conyers, GA / Remote or Hybrid (Multiple Raymond Offices) About Raymond: Raymond is a ... Interest in mechanical engineering and building systems design * * Strong math and science skills

Showing results 21-40

Remote Mathematical Engineer information

See Atlanta, GA salary details

$35.1K

$103.2K

$132.2K

How much do remote mathematical engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote mathematical engineer in Atlanta, GA is $103,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a remote mathematical engineer?

A Remote Mathematical Engineer is a professional who applies advanced mathematical theories, techniques, and computational methods to solve complex problems in various fields, such as engineering, finance, technology, and data science, while working from a remote location. They often develop algorithms, create mathematical models, and analyze data to support decision-making or product development. Remote roles allow these engineers to collaborate with teams and clients online, using specialized software and communication tools. This position typically requires strong analytical skills, proficiency in mathematics and programming, and the ability to work independently.

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

To thrive as a Remote Mathematical Engineer, you need a strong background in advanced mathematics, problem-solving, and programming, typically with a degree in mathematics, engineering, or a related field. Familiarity with tools like MATLAB, Python, R, and mathematical modeling software, as well as experience with version control systems such as Git, is important. Strong analytical thinking, self-motivation, and effective remote communication skills help you excel in collaborative and independent work environments. These competencies ensure you can develop, implement, and communicate complex mathematical solutions for real-world problems while effectively collaborating across distributed teams.

How do remote mathematical engineers typically collaborate with cross-functional teams while working from different locations?

Remote Mathematical Engineers often work closely with software developers, data scientists, and project managers using collaborative tools like video conferencing, shared code repositories, and project management platforms. Regular virtual meetings help ensure alignment on project goals and allow for real-time problem-solving. Effective communication and documentation skills are essential, as much of the collaboration happens asynchronously. Building strong relationships with team members and proactively sharing progress updates are key to thriving in this remote, team-oriented environment.

What is the difference between Remote Mathematical Engineer vs Remote Data Scientist?

AspectRemote Mathematical EngineerRemote Data Scientist
Required CredentialsMathematics, Engineering, or related technical degrees; strong analytical skillsStatistics, Computer Science, or related degrees; data analysis expertise
Work EnvironmentCollaborates with engineering teams on algorithm development and modelingAnalyzes data to extract insights, builds predictive models
Employer & Industry UsageTech, finance, aerospace, research institutionsTech companies, finance, healthcare, consulting
Search & Comparison IntentFocuses on mathematical modeling and engineering solutionsFocuses on data analysis and machine learning applications

Remote Mathematical Engineers primarily develop mathematical models and algorithms for engineering problems, often working closely with technical teams. Remote Data Scientists analyze large datasets to generate insights and predictive models. While both roles require strong analytical skills and technical backgrounds, their focus areas differ: engineering solutions versus data analysis.

What cities near Atlanta, GA are hiring for Remote Mathematical Engineer jobs?

Cities near Atlanta, GA with the most Remote Mathematical Engineer job openings:

Infographic showing various Remote Mathematical Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 9% Internship, 73% Full Time, 7% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,168 per year, or $49.6 per hour.

Senior Algorithm & Signal Processing Researcher

STR

Atlanta, GA โ€ข On-site, Remote

$139K - $170K/yr

Full-time

Re-posted 13 days ago


Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.

The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.

About the Role:

As a Senior Algorithm and Signal Processing Engineer, you will develop, implement, test, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare, radar, and remote sensing applications. You will work as part of multidisciplinary teams to research next-generation sensing concepts and transition advanced algorithms into integrated systems for laboratory and field demonstrations.

A successful candidate will have expertise in one or more of the following areas: signal processing, adaptive radar signal processing, optimization, machine learning, electronic warfare, algorithm development, radar systems, communications systems, RF remote sensing, resource management, modeling and simulation, or related technical fields. This position requires strong analytical skills, scientific programming experience, and the ability to collaborate with researchers, engineers, and customers to solve challenging technical problems.

What You Will Do

  • Develop advanced sensing concepts, signal processing algorithms, and machine learning techniques for radar, electronic warfare, and remote sensing applications
  • Research, design, implement, and evaluate novel algorithms from concept through demonstration
  • Collaborate with multidisciplinary teams to architect, develop, integrate, and test advanced RF signal processing systems
  • Support modeling and simulation activities to evaluate algorithm performance and inform system design
  • Plan and execute laboratory and field testing to assess algorithm performance and transition research into operational prototypes.
  • Contribute to technical proposals, customer interactions, presentations, and technical briefings
  • Survey emerging research and incorporate state-of-the-art techniques into practical algorithm solutions.

Who You Are

  • Ability to obtain and maintain a Top Secret security clearance, for which U.S. citizenship is required by the U.S. government
  • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, Computer Engineering, Computer Science, or a related technical discipline with 2-5+ years relevant experience
  • Strong programming skills in MATLAB, Python, C/C++, or similar scientific computing languages
  • Strong mathematical, analytical, troubleshooting, written, and verbal communication skills
  • Experience developing, implementing, testing, or analyzing signal processing, optimization, or machine learning algorithms
  • Ability to communicate complex technical concepts to both technical and non-technical audiences
  • Ability to translate research objectives and customer needs into practical technical solutions

Even Better

  • Active Top Secret security clearance
  • Experience with radar systems, RF remote sensing, electronic warfare, or communications systems
  • Experience with adaptive signal processing, waveform design, multidimensional signal processing, resource management, or system optimization
  • Experience developing algorithms for real-time or embedded systems
  • Experience with modeling and simulation, algorithm integration, and system test and evaluation
  • Experience with software development and scientific computing workflows
  • Ability to survey technical literature, identify emerging approaches, and transition research into integrated, tested solutions

Pay Information
Full-Time Salary Range: $139,000 - $170,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.