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Remote Computational Engineering Jobs (NOW HIRING)

Imh

$14.50 - $18.75/hr

Computational Fluid Dynamics (CFD) and Fluid Mechanics research or practical experience The ... If applying for a remote or hybrid role, this includes remote work expectations related to ...

New

Weekday AI

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 ...

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 ...

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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 Aug 20, 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 job categories do people searching Remote Computational Engineering jobs look for?

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

Remote Computational Engineering jobs near you
Infographic showing various Remote Computational Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Senior Software Engineer, Computational Engineering

Divergent

Torrance, CA • On-site, Remote

$127K - $168K/yr

Full-time

Re-posted 20 days ago

Job description

Purpose

We are looking for a Senior Software Engineer, Computational Engineering with a strong background in developing and maintaining complex engineering software aimed for manufacturing applications. You will be contributing to Divergent's proprietary software for advanced additive manufacture, including toolpath generation for large-format Laser Bed Powder Fusion (LBPF) printers and the integration of these solutions into the broader Divergent Adaptive Production System (DAPS). The position involves computational geometry algorithmic solutions, as well as integration with engineering and factory applications.

The Role
  • Design, implement, test and deploy algorithmic solutions for LBPF toolpath generation
  • Collaborate with cross-functional teams to gather requirements and propose new solutions to improve material quality and print productivity via software solutions
  • Integrate engineering software into the broader factory application infrastructure
  • Contribute to code reviews, and produce robust code solutions that can be used in a manufacturing production environment
  • Contribute to CI/CD workflows to containerize and automate deployments
Basic Qualifications
  • Ability to lawfully access information and technology that is subject to US export controls 
  • Bachelor's or master's in computer science (or related) +5years of professional softwareengineering experience.
  • Advanced proficiency in C++ for production codebases.
  • Strong mathematical background and an understanding of computational geometry.
  • Familiarity with Python.
  • Solid understanding of system design, scalability, and cloudnative architecture.
Preferred Qualifications
  • CI/CD pipeline design, experience with Docker and container technologies.
  • Familiarity with microservice infrastructures and tools, such as Temporal and GraphQL
  • Experience with C++11 (and newer), multithreading, OpenMP, TBB.
  • Experience with CAM/CAD tools.
  • Experience with developing robust software in manufacturing applications.
  • Experience with Qt.
Work Environment
  • Hybrid or Remote

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