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Remote Computational Mechanics Engineer Jobs (NOW HIRING)

Computational Structural & Mechanical Engineering Expert Type: Contract Compensation: $70-$85/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging ...

Computational Structural & Mechanical Engineering Expert Type: Contract Compensation: $70-$85/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging ...

Remote Job Overview We are seeking experienced Computational Physics Experts to contribute their ... Strong Python programming skills and experience working with scientific or computational codebases.

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Remote Job Overview We are seeking experienced Computational Physics Experts to contribute their ... Strong Python programming skills and experience working with scientific or computational codebases.

New

Associate, Mechanical Engineer

Rochester, NY ยท On-site +1

$59K - $110K/yr

Computational Methods: Employing finite-element-based computational methods, dynamic testing ... Knowledge of astrodynamics principles relevant to remote sensing. Familiarity with space mission ...

This is a fully remote, project-based position focused on rigorous technical analysis, precise ... Exposure to predictive modeling, simulations, or other computational analysis methods used in ...

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Remote Computational Mechanics Engineer information

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$48.5K

$121.5K

$137.5K

How much do remote computational mechanics engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote computational mechanics engineer 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 a remote computational mechanics engineer?

Remote Computational Mechanics Engineers are professionals who use computer-based modeling and simulation to analyze and solve problems related to the mechanics of materials and structures, all while working from a remote location. They typically use finite element analysis (FEA) and computational fluid dynamics (CFD) tools to predict how products will behave under various conditions. Their work helps in optimizing designs, improving safety, and reducing costs in industries such as aerospace, automotive, and civil engineering. Working remotely, they collaborate with teams using digital communication tools and specialized software.

How do remote computational mechanics engineers typically collaborate with team members and clients across different locations?

Remote Computational Mechanics Engineers often work closely with multidisciplinary teams, including fellow engineers, project managers, and clients, using virtual collaboration tools such as video conferencing, shared modeling platforms, and project management software. Regular online meetings and real-time document sharing are essential to ensure alignment on project goals, simulation results, and design iterations. Effective communication and proactive updates are crucial in overcoming challenges related to time zone differences and remote workflows, making strong organizational and interpersonal skills valuable assets in this role.

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

To thrive as a Remote Computational Mechanics Engineer, you need strong analytical skills in mechanics, proficiency in numerical modeling, and a degree in mechanical engineering or a related field. Familiarity with finite element analysis (FEA) software such as ANSYS, Abaqus, or COMSOL, and experience with programming languages like Python or MATLAB are commonly required. Excellent problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies ensure accurate simulations, efficient workflow, and successful cross-team integration in a remote work environment.

What cities are hiring for Remote Computational Mechanics Engineer jobs?

Cities with the most Remote Computational Mechanics Engineer job openings:

What are the most commonly searched types of Computational Mechanics Engineer jobs?

The most popular types of Computational Mechanics Engineer jobs are:

What states have the most Remote Computational Mechanics Engineer jobs?

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

Computational Mechanics Expert - PhD

New York, NY โ€ข Remote

$70 - $85/hr

Full-time

Posted 13 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Structural & Mechanical Engineering Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring skilled use of open-source, domain-specific computational tools like FEniCSx/DOLFINx, OpenFOAM, deal.II, and others.
  • Evaluate AI models by testing them against state-of-the-art benchmarks and refine problems to achieve the desired difficulty.
  • Collaborate with AI research teams to improve problem designs and ensure they test strategic reasoning and problem-solving.
  • Work independently and asynchronously to meet deadlines and refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one of the listed scientific software libraries through research publications, open-source contributions, or professional work.
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfortable working in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.