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Computational Modeling Simulation Multiphysics Jobs in New Jersey

Lead Data Scientist

New Brunswick, NJ · On-site +1

$140K - $160K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... Perform Advanced System Simulation and Optimization Modeling supporting design of large and complex ...

Lead Data Scientist

New Brunswick, NJ · On-site +1

$140K - $160K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... Perform Advanced System Simulation and Optimization Modeling supporting design of large and complex ...

Burning Plasma Scientist

Kearny, NJ · On-site

$135K - $210K/yr

Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time ... PhD in Plasma Physics, Computational Physics, or related field (or Master's / Bachelor's with ...

Burning Plasma Scientist

Kearny, NJ · On-site

$135K - $210K/yr

Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time ... PhD in Plasma Physics, Computational Physics, or related field (or Master's / Bachelor's with ...

CFD Engineer Specialist

Camden, NJ · On-site

$95K - $115K/yr

Develop new and innovative Computational Fluid Dynamics (CFD) simulations related to nuclear power ... Familiarity with two-phase flow modeling * Programming skills in Python, C++, or Java for ...

Oversee the prototyping phase, developing initial models for testing. Analyze test results ... simulation tools for finite element analysis (FEA) and computational fluid dynamics (CFD). • ...

Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts. Required Experience & Skillsets:

Plasma-Materials Scientist

Kearny, NJ · On-site

$100K - $160K/yr

Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts. Required Experience & Skillsets:

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Computational Modeling Simulation Multiphysics information

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.

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 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 some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, 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 popular job titles related to Computational Modeling Simulation Multiphysics jobs in New Jersey? For Computational Modeling Simulation Multiphysics jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in New Jersey look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in New Jersey are:
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Infographic showing various Computational Modeling Simulation Multiphysics job openings in New Jersey as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
CFD & CAD Expert -- AI Evaluation & Quality Review

CFD & CAD Expert -- AI Evaluation & Quality Review

Braintrust

Alloway, NJ • On-site

$30 - $90/hr

Full-time

Posted 11 days ago


Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

Final rate depends on location, qualifications and experience


We are seeking a Mechanical Engineering expert with advanced CAD and Computational Fluid Dynamics (CFD) experience to support a leading AI lab developing next-generation engineering AI models. In this project-based role, you will review, annotate, and evaluate highly technical engineering content, applying your domain expertise to ensure the accuracy and quality of datasets used for AI training.

Key Responsibilities
  • Annotate and review CAD models, engineering drawings, and technical diagrams.
  • Evaluate mechanical engineering and CFD datasets for technical accuracy and consistency.
  • Perform quality control (QC) on expert annotations and identify engineering errors.
  • Provide subject matter expertise to refine evaluation guidelines and improve dataset quality.
Required Qualifications
  • Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
  • Strong CAD experience (e.g., SolidWorks, CATIA, NX, Creo, Fusion 360, or similar).
  • 5+ years of professional experience
  • Hands-on meshing experience with Gmsh or snappyHexMesh.
  • Hands-on CFD simulation experience with OpenFOAM or SU2.
  • Strong ability to interpret technical drawings, assemblies, and mechanical systems.
  • Domain expertise in aerodynamics and/or aerospace engineering.
  • Fluent in English; French is a strong plus.
Nice to Have
  • Experience with FEM tools such as FEniCS or CalculiX.
  • Additional expertise in one or more of the following:
    • Reacting flows
    • Solid mechanics / structural deformation
    • Fluid-structure interaction (FSI)
    • Heat transfer
    • Chemically reacting flows
    • Multiphase flows