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Remote Computational Engineering Jobs (NOW HIRING)

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STEM Researcher - Computational Fields

$60 - $90/hr

This is a fully remote, full-time engagement requiring approximately 35 hours per week ... programming and data analysis. * Minimum 1 year of experience in an active research role within ...

Aequor

This opportunity can be remote. Duties and responsibilities: • Support Oncology drug development ... Skills: • Programming experience with Python and R for bioinformatic data analysis in unix-like ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The CFD Division Head will lead a premier group of approximately fifteen of engineers and research ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The CFD Division Head will lead a premier group of approximately fifteen of engineers and research ...

YO AI Labs

CFD Engineer - Remote

New York, NY · Remote

Remote Role Overview We are looking for experienced CFD Engineers to work on projects involving computational fluid dynamics, aerodynamics, and fluid-flow simulations. The role requires strong ...

New

The Pennsylvania State University

$18.75 - $24.50/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Students studying Computer Science, Electrical Engineering, Mathematics and/or Physics are ...

YO AI Labs

Hardware Expert - Remote

Seattle, WA · Remote

$50 - $100/hr

Interpret engineering drawings and create accurate 3D CAD models. * Develop complex mechanical ... Computational Geometry Qualifications * Strong experience with CAD and mechanical design. * Good ...

YO AI Labs

Hardware Expert - Remote

Boston, MA · Remote

$50 - $100/hr

Interpret engineering drawings and create accurate 3D CAD models. * Develop complex mechanical ... Computational Geometry Qualifications * Strong experience with CAD and mechanical design. * Good ...

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Remote Computational Engineering information

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$48.5K

$121.5K

$137.5K

How much do remote computational engineering jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote computational engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is remote computational engineering?

Remote computational engineering involves using computer-based simulations and modeling tools to solve engineering problems from a remote location, rather than working onsite. Professionals in this field apply advanced mathematics, physics, and programming to design, analyze, and optimize systems or products. They often collaborate with teams virtually and use software to perform tasks such as finite element analysis (FEA), computational fluid dynamics (CFD), or algorithm development. This role enables flexibility in work location while contributing to innovative engineering projects across various industries.

How does a remote computational engineer typically collaborate with team members on complex projects?

Remote computational engineers often use collaborative software tools, such as version control systems, cloud-based simulation platforms, and video conferencing, to stay connected with their teams. They regularly participate in virtual meetings, share project updates, and review code or modeling results together. Despite working remotely, strong communication skills are essential to coordinate with multidisciplinary teams, address technical challenges, and ensure alignment on project goals and deadlines.

What are the key skills and qualifications needed to thrive as a remote computational engineer, and why are they important?

To thrive as a Remote Computational Engineer, you need strong analytical and mathematical abilities, proficiency in computational modeling, and a degree in engineering, mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or C++), high-performance computing systems, and relevant simulation software is typically required. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a remote environment. These skills ensure that you can develop accurate models, contribute to complex projects, and maintain productivity while working independently.

What is the difference between Remote Computational Engineering vs Remote Data Scientist?

AspectRemote Computational EngineeringRemote Data Scientist
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; programming skillsBachelor's or higher in statistics, computer science, or related fields; programming and statistical skills
Work EnvironmentCollaborative engineering teams, simulation labs, software developmentData analysis teams, research environments, analytics platforms
Industry UsageEngineering firms, tech companies, manufacturing
Common Search IntentComparing roles in engineering and technical development

Remote Computational Engineering and Remote Data Scientist roles share a focus on programming and analytical skills, often requiring similar educational backgrounds. However, computational engineers typically work on simulations, modeling, and engineering solutions, while data scientists focus on analyzing data to derive insights. Both roles are prevalent in tech-driven industries and often involve remote collaboration, but their core functions differ in application and industry focus.

More about Remote Computational Engineering jobs

What cities are hiring for Remote Computational Engineering jobs?

Cities with the most Remote Computational Engineering job openings:

What are the most commonly searched types of Computational Engineering jobs?

The most popular types of Computational Engineering jobs are:

What states have the most Remote Computational Engineering jobs?

States with the most job openings for Remote Computational Engineering jobs include:

What are popular job titles related to Remote Computational Engineering jobs?

For Remote Computational Engineering jobs, the most frequently searched job titles are:

Remote Computational Engineering jobs near you
Infographic showing various Remote Computational Engineering job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

Oxford, MS • On-site, Remote

University of Mississippi
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about University of Mississippiexternal

Full-time

Re-posted 29 days ago

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Job Summary:

This position focuses on developing and maintaining computational and geospatial technologies that support agricultural watershed science, water quality assessment, dam-break flood modeling, risk evaluation, and emergency planning. The role emphasizes building decision-support systems and web-based tools, managing large environmental datasets, and enabling data-driven environmental management through advanced modeling, software engineering, and GIS/remote sensing workflows.
It also includes supporting high-performance and Linux-based research computing environments, contributing to scientific communication (journal articles, technical reports, and conference presentations), and collaborating with interdisciplinary teams and stakeholders. In addition, the role supports grant proposal development and may include leading external research efforts.

Job Description:

Essential Duties/ Responsibilities:
  • Develop computational models, software tools, and web-based decision support systems for agricultural watershed processes, water quality assessment, dam-break flood modeling, risk assessment, and emergency planning.
  • Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
  • Design, develop, and maintain geospatial databases, web mapping applications, decision-support systems, and cloud- or cluster-based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
  • Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
  • Support high-performance computing, Linux-based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data-intensive research.
  • Participate in and lead external research grant proposal development.
  • Participate in and lead peer-reviewed journal publications, technical reports, and scientific conference presentations.
  • Collaborate with interdisciplinary teams of scientists, engineers, and stakeholders to develop innovative solutions for water resources and environmental management challenges.

Job Responsibilities:

Preferred Experience, Knowledge, Skills & Abilities:
  • Experience in developing computational models, decision-support systems, and web-based tools for hydrologic, hydraulic, watershed, water quality, and environmental management.
  • Experience in scientific programming (e.g., FORTRAN, C++, Python, R), software development, computer systems, and computational infrastructure for environmental and geospatial applications..
  • Experience in geospatial analysis and environmental data management using GIS, remote sensing, spatial databases, and web-based geospatial technologies.
  • Experience with database design, administration, and optimization, including PostgreSQL/PostGIS and large-scale spatial data processing.
  • Experience in developing and deploying geospatial web services, map servers, and cloud- or cluster-based computing environments for environmental modeling and visualization.
  • Experience with Linux system administration, high-performance computing (HPC), virtualization, automation, and research computing infrastructure.
  • Excellent oral, written, and presentation skills (both technical and non-technical).
  • Experience in AIMS and/or DSS-WISE modeling and decision support systems is preferred.
Education:
  • Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.

* This position is fully or partially funded by external research grants. Continued employment is contingent upon satisfactory performance and the ongoing availability of funding.


** Applicants are requested to attach a Resume/CV with their application.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

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