2

Remote Mathematical Engineer Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Derive physics-based and mathematical models where appropriate for validation and verification

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Mathematics , Statistics , Computer Science , Electrical Engineering , Mechanical Engineering ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Mathematics , Statistics , Computer Science , Electrical Engineering , Mechanical Engineering ...

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information ...

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information ...

... Remote Work Policy. Required Experience * Five (5) years of experience in the IT Security field * Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering or a related ...

... Remote Work Policy. Required Experience * Five (5) years of experience in the IT Security field * Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering or a related ...

$109K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... and mathematical models where appropriate for validation and verification * Apply scientific ...

next page

Showing results 1-20

Remote Mathematical Engineer information

See salary details

$36.5K

$107.3K

$137.5K

How much do remote mathematical engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for remote mathematical engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 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.

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 are the key skills and qualifications needed to thrive as a Remote Mathematical Engineer, and why are they important?

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.
More about Remote Mathematical Engineer jobs
What cities are hiring for Remote Mathematical Engineer jobs? Cities with the most Remote Mathematical Engineer job openings:
What are the most commonly searched types of Mathematical Engineer jobs? The most popular types of Mathematical Engineer jobs are:
What states have the most Remote Mathematical Engineer jobs? States with the most job openings for Remote Mathematical Engineer jobs include:
Infographic showing various Remote Mathematical Engineer job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.
Signal Processing Engineer

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

POSITION SPECIFICS

We are looking for a highly motivated Signal Processing Engineer to join the Advanced Phenomenology Department at the Applied Research Laboratory (ARL) at Penn State University. You will assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support. Under the mentorship of our R&D staff, you will utilize state-of-the-art tools in machine vision, UxV autonomy, and data processing. Your work will support a unique problem area that have applications in defense, manufacturing, law enforcement, security, and disaster relief. Our highly collaborative team is comprised of adaptable, curious, creative, lateral thinkers with both traditional and non-traditional backgrounds and multidisciplinary points-of-view. We offer opportunities to grow, explore, and experience multiple roles, and we encourage team members to pursue higher degrees and certifications in their field of study.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

  • Support the research and testing of novel collection methods and strategies using multiple networked asset and evaluate signal processing strategies and UxV autonomy in sea, ground, air and space environments
  • Develop data architectures and pipelines for test and evaluation, document findings and recommend system modifications where needed
  • Research data fusion and estimation frameworks for sensor networks, i.e. Kalman filter approaches
  • Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data processing workflows and implementations
  • Collaborate with computer vision algorithm developers and data scientists to support the integration of machine learning algorithms
  • Derive physics-based and mathematical models where appropriate for validation and verification
  • Apply scientific method and best practices across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation
  • Grow career and capabilities, plan and conduct applied research, provide technical guidance and oversight, contribute to large research efforts, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques
  • Engage in research efforts ranging from proof-of-concept through integrated production

Required skills/experience areas include:

  • Technical skills and training in a field directly applicable or highly related to Computer Science, Applied Mathematics, Engineering, or Geospatial Sciences
  • Interest in the design and development of data fusion and estimation frameworks using heterogenous sensor network configurations
  • Computer programming in one or more of the following: Python, C++, MATLAB, Java
  • Exposure to spatio-temporal data fusion, applicable database architectures and machine learning applications

Preferred skills/experience areas include:

  • Willingness to work within DoD/IC Analysis or Operational environments
  • Willingness and ability to obtain a government security clearance

Your working location will be on-site in State College, PA. Questions related to flexible work should be directed to the hiring manager during the interview process.

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

If filled as Research and Development Engineer - Intermediate Professional, this position requires: Bachelor's Degree - Engineering or Science 2+ years of relevant experience Required Certifications: None If filled as Research and Development Engineer - Professional, this position requires: Bachelor's Degree - Engineering or Science No prior relevant work experience required Required Certifications: None

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).FOR FURTHER INFORMATION on ARL, visit our website atwww.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $76,700.00 - $129,500.00.**THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL**

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Federal Contractors Labor Law Poster

PA State Labor Law Poster

Penn State Policies

Copyright Information

Hotlines


Pennsylvania State University logo

About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

Social media