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Remote Computational Solid Mechanics Jobs (NOW HIRING)

System One

Senior Structural Analyst

Bellevue, WA · Remote

$54 - $90/hr

Remote - offsite Hours: 40.0 Overview System One is seeking highly motivated and resourceful Senior ... Strong understanding of solid mechanics, fracture mechanics, and fatigue failure. * Working ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational approaches in cattle and mouse models to investigate the molecular mechanisms ...

KBR, Inc.

Opto-Mechanical Designer - Remote

$81K - $122K/yr

Opto-Mechanical Designer - Remote Belong. Connect. Grow. with KBR! We at KBR share one goal: to ... Proficient in CAD software (Solid Works, NX), providing innovative and practical mechanical ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... M.S. or PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science ...

ENTRUST Solutions Group

Sr. Hydro Mechanical Engineer

$120K - $165K/yr

Conduct or supervise finite element analysis (FEA) and computational fluid dynamics (CFD ... This role is designated as remote, giving you the flexibility to primarily work from home while ...

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How much do remote computational solid mechanics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote computational solid mechanics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a remote computational solid mechanics?

A Remote Computational Solid Mechanics job involves using computer simulations and numerical methods to analyze and predict the behavior of solid materials and structures, all while working from a remote location. Professionals in this role apply principles of mechanics, mathematics, and engineering, often using software like finite element analysis (FEA) tools to solve complex problems in industries such as aerospace, automotive, civil engineering, and materials science. Remote work allows these specialists to collaborate with teams and clients from anywhere, leveraging digital communication and computational resources. Key responsibilities can include modeling structures, running simulations, interpreting results, and generating technical reports.

What is the difference between Remote Computational Solid Mechanics vs Remote Finite Element Analyst?

AspectRemote Computational Solid MechanicsRemote Finite Element Analyst
Required credentialsEngineering degree, advanced math, programming skillsEngineering degree, proficiency in FEA software
Work environmentResearch labs, engineering firms, remote optionsDesign firms, manufacturing, remote options
Industry usageAutomotive, aerospace, civil engineeringProduct design, structural analysis, manufacturing

Remote Computational Solid Mechanics and Remote Finite Element Analyst roles share similar educational backgrounds and industry applications. However, Computational Solid Mechanics focuses more on developing and applying complex models for material behavior, while Finite Element Analysts primarily perform simulations using existing FEA software. Both roles often offer remote work options and require strong technical skills, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a remote computational solid mechanics engineer?

To thrive as a Remote Computational Solid Mechanics Engineer, you need a strong background in mechanical engineering, finite element analysis (FEA), and solid mechanics, often backed by an advanced degree in engineering or a related field. Expertise with FEA software such as ANSYS, ABAQUS, or COMSOL, along with proficiency in programming languages like Python or MATLAB, is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for collaborating remotely and delivering accurate results. These skills ensure precise modeling, efficient virtual teamwork, and the successful execution of complex engineering projects from a distance.

What are some common challenges faced when working remotely in a computational solid mechanics role?

Working remotely in Computational Solid Mechanics often involves navigating complex simulations and large data sets, which can require robust hardware and reliable internet connectivity. Collaboration with team members across different time zones can also be challenging, as projects typically involve interdisciplinary input from engineers, scientists, and software developers. To succeed, professionals should leverage effective communication tools, maintain clear documentation, and proactively address any technical limitations that may arise. Being disciplined with time management and staying updated on the latest computational methods are also key to overcoming these challenges.
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Remote Computational Solid Mechanics jobs near you
Infographic showing various Remote Computational Solid Mechanics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Design Research Engineer

Foundation EGI

Boston, MA • Remote

$100K - $140K/yr

Full-time

Re-posted 10 days ago

Job description

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
 
About Us:
 
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
 
 

On this Role:

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

 
Responsibilities
  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.
  • Curate and manage large-scale datasets for learning-based systems.
  • Implement and optimize post-training workflows for machine learning models.
  • Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
  • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
  • Proficient in writing clean, modular, and maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with a focus in Computational Design, Simulation, or AI.
  • Experience developing CAD/CAM/CAE software tools.
  • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
  • Experience designing or implementing DSLs or compilers.

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.

In addition to base salary, eligible employees may receive:

• Equity participation in the company's long-term success
• Comprehensive benefits package including medical, dental and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources

We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.