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Remote Computational Engineering Jobs in Virginia

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Remote Computational Engineering information

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.

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

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

What job categories do people searching Remote Computational Engineering jobs in Virginia look for?

The top searched job categories for Remote Computational Engineering jobs in Virginia are:

What cities in Virginia are hiring for Remote Computational Engineering jobs?

Cities in Virginia with the most Remote Computational Engineering job openings:

Infographic showing various Remote Computational Engineering job openings in Virginia as of July 2026, with employment types broken down into 76% Full Time, 8% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

Scientific Software Engineer / Computational Physicist

Springfield, VA • On-site, Remote

Full-time

Posted 8 days ago


Job description

Position Overview

We are seeking a Scientific Software Engineer / Computational Physicist to support a research and development program focused on remote sensing, physics-based modeling, and scientific algorithm development.

This role requires a strong background in scientific programming and applied physics. An initial focus will be evaluating an existing scientific codebase originally developed in MATLAB and later converted to Python. The engineer will assess both the software implementation and underlying physics to determine whether models and calculations accurately represent the intended physical phenomena.

The ideal candidate can independently review scientific code, understand the governing physics and mathematical models, identify questionable assumptions or implementations, and develop or improve computational approaches to support ongoing R&D efforts.

Key Responsibilities

  • Review, debug, validate, and improve scientific Python code, including functionality converted from legacy MATLAB.
  • Evaluate whether computational models accurately represent the intended physics, mathematical assumptions, and governing equations.
  • Identify errors or inconsistencies in scientific models, numerical implementations, and MATLAB-to-Python conversions.
  • Work with physics-based models involving areas such as heat transfer, fluid dynamics, radiative processes, and material properties.
  • Develop and evaluate algorithms supporting remote sensing, infrared sensing, spectral analysis, and related R&D efforts.
  • Apply numerical modeling and optimization techniques to scientific and engineering problems.
  • Translate physical principles, mathematical models, and scientific research into computational implementations.
  • Develop validation approaches and evaluate model and algorithm performance, sensitivity, uncertainty, and limitations.
  • Document and communicate technical findings, methodologies, assumptions, and recommendations.

Required Qualifications

  • B.S. in a STEM discipline with 10+ years of relevant experience, or M.S. in STEM with 6+ years of relevant experience.
  • Strong scientific programming experience in Python.
  • Experience with remote sensing.
  • Experience with numerical modeling, scientific computing, simulation, or scientific algorithm development.
  • Strong background in physics, engineering, applied mathematics, or a related scientific discipline.
  • Demonstrated ability to evaluate scientific software and the underlying physical or mathematical models.
  • Knowledge of optimization techniques, such as particle swarm optimization.
  • Active TS/SCI with willingness to obtain a CI Poly.

Preferred Qualifications

  • Experience with MATLAB, particularly scientific or physics-based applications.
  • Experience with infrared remote sensing and/or spectral analysis.
  • Knowledge of flight dynamics.
  • Experience with GitLab and Git CLI.
  • Experience reviewing, comparing, converting, or validating MATLAB and Python scientific implementations.