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Computational Modeling Simulation Multiphysics Jobs in Miami, FL

YO AI Labs

Computational Physics Expert - Remote

Miami, FL · Remote

$80 - $100/hr

Develop high-quality technical examples, evaluations, and feedback to support AI training and model ... simulation, or related technical fields. * Demonstrated experience using Codex, Claude Science ...

Raytheon

Senior Simulation Engineer Onsite

Miami, FL · On-site

$99K - $137K/yr

... computational problems, including assessments of potential system improvements, missile ... Experience using Python to analyze data, model behaviors, or support operational workflows.

Raytheon

Principal Propellant Chemist

Miami, FL · On-site

Knowledge of data analysis, modeling and simulation, statistics, and various computational techniques for complex multi-variable problems. * Strong communication, interpersonal, planning and time ...

All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Miami, FL

Computational Modeling Simulation Multiphysics information

See Miami, FL salary details

$37.3K

$96.8K

$137.7K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computational modeling simulation multiphysics in Miami, FL is $96,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are common challenges faced by professionals in computational modeling simulation multiphysics, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

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

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

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Computational Modeling Simulation Multiphysics jobs near you

Computational Physics Expert - Remote

Miami, FL • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 14 days ago

Job description

Job Title: Computational Physics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Computational Physics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide real-world examples of computational physics problem-solving and demonstrate how modern AI coding agents can be applied to sophisticated technical workflows.

The ideal candidate is a STEM professional with hands-on experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork as active tools in computational and technical work.

No prior experience in AI training is required—your computational physics expertise, technical judgment, and ability to apply agentic tools to complex problems are what matter most.

Scope of Work
  • Provide detailed, real-world walkthroughs of computational physics problem-solving using AI coding agents in complex technical environments.
  • Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical workflows.
  • Document how AI agents are used for tasks such as navigating large codebases, debugging complex issues, developing sophisticated features, and automating multi-step workflows.
  • Clearly describe the approaches, technical decisions, methodologies, and agent-generated sequences used to solve computational problems.
  • Evaluate workflows in which AI agents contribute to architectural changes, codebase modifications, debugging, and ambiguous computational challenges.
  • Develop high-quality technical examples, evaluations, and feedback to support AI training and model improvement.
  • Analyze the accuracy, effectiveness, and limitations of AI-generated solutions in computational physics contexts.
  • Communicate technical findings and insights through clear written and verbal documentation.
  • Collaborate with project stakeholders to refine technical examples, workflows, and evaluation criteria.
Required Skills
  • Computational Physics
  • Python
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • Debugging
  • Technical Documentation
  • Architectural Change Management
  • Problem-Solving
  • Technical Communication
Preferred Qualifications
  • Advanced hands-on experience in computational physics, scientific computing, numerical methods, simulation, or related technical fields.
  • Demonstrated experience using Codex, Claude Science, Claude Code, and Claude Cowork in real-world technical workflows.
  • Current or recent experience as a STEM professional applying AI coding agents to complex technical problems beyond basic coding assistance.
  • Strong Python programming skills and experience working with scientific or computational codebases.
  • Ability to clearly explain complex, end-to-end technical solutions and the role AI agents played throughout the workflow.
  • Experience generating and evaluating agent-driven sequences and multi-step workflows, rather than relying primarily on conversational AI interactions.
  • Experience debugging complex systems and identifying subtle technical issues with the assistance of AI coding agents.
  • Familiarity with architectural change management, refactoring, and development within large or complex codebases.
  • Strong written and verbal communication skills, with the ability to produce detailed and technically accurate documentation.
  • Strong analytical thinking and the ability to evaluate AI-generated technical solutions critically.