ZipRecruiter

Log In

1

Cfd Simulation Openfoam Jobs (NOW HIRING)

Blue Origin, LLC

CFD Analyst III

Seattle, WA · On-site

... OpenFOAM) * Solid understanding of fluid mechanics, heat transfer * Experience deriving and ... Experience with conjugate heat transfer (CHT) simulations coupling fluid and solid thermal domains

Blue Origin

CFD Analyst III

Huntsville, AL · On-site

... OpenFOAM) * Solid understanding of fluid mechanics, heat transfer * Experience deriving and ... Experience with conjugate heat transfer (CHT) simulations coupling fluid and solid thermal domains

Blue Origin

CFD Analyst III

Seattle, WA · On-site

... OpenFOAM) * Solid understanding of fluid mechanics, heat transfer * Experience deriving and ... Experience with conjugate heat transfer (CHT) simulations coupling fluid and solid thermal domains

previous page

Showing results 41-60

All JobsTechnology JobsCfd Simulation Openfoam Jobs

Cfd Simulation Openfoam information

See salary details

$11K

$67.6K

$121.5K

How much do cfd simulation openfoam jobs pay per year?

As of Sep 3, 2026, the average yearly pay for cfd simulation openfoam in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is CFD simulation with OpenFOAM?

CFD (Computational Fluid Dynamics) simulation with OpenFOAM involves using the open-source OpenFOAM software to analyze and predict fluid flow, heat transfer, and related physical phenomena. OpenFOAM provides a suite of solvers and utilities for solving complex fluid dynamics problems in engineering and research. Users can customize and extend its capabilities through programming, making it a popular choice for both academic and industrial applications. The software supports simulations in areas such as aerodynamics, hydrodynamics, chemical reactions, and multiphase flows.

What are the key skills and qualifications needed to thrive as a CFD simulation engineer using OpenFOAM?

To thrive as a CFD Simulation Engineer with OpenFOAM, you need a solid background in fluid dynamics, numerical methods, and a relevant engineering or physics degree. Proficiency with OpenFOAM software, scripting languages (like Python or Bash), and familiarity with Linux environments are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret results and collaborate on multidisciplinary teams. These skills ensure accurate simulations, efficient workflow, and actionable insights for engineering projects.

What are some common challenges faced when running CFD simulations with OpenFOAM, and how can they be addressed?

A common challenge in running CFD simulations with OpenFOAM is ensuring mesh quality and convergence, as poor mesh or inappropriate boundary conditions can lead to inaccurate results or simulation failures. New users often encounter difficulties in setting up complex case files and understanding solver settings. To address these issues, it's important to familiarize yourself with OpenFOAM's documentation, leverage community forums, and start with simpler cases before advancing to more complex simulations. Collaborating with experienced team members or mentors can also be invaluable for troubleshooting and learning best practices.

What is the difference between Cfd Simulation Openfoam vs Cfd Engineer?

AspectCfd Simulation OpenfoamCfd Engineer
CredentialsKnowledge of OpenFOAM, engineering backgroundEngineering degree, CFD software skills
Work EnvironmentResearch labs, engineering firms, academiaDesign firms, manufacturing, aerospace
Industry UsageSimulation development, research projectsDesign optimization, product testing

While Cfd Simulation Openfoam focuses on using and developing CFD simulations with OpenFOAM software, a Cfd Engineer applies CFD tools like OpenFOAM in practical engineering projects. The former is more research-oriented, whereas the latter emphasizes application and design optimization in industry.

What cities are hiring for Cfd Simulation Openfoam jobs?

Cities with the most Cfd Simulation Openfoam job openings:

What states have the most Cfd Simulation Openfoam jobs?

States with the most job openings for Cfd Simulation Openfoam jobs include:

What job categories do people searching Cfd Simulation Openfoam jobs look for?

The top searched job categories for Cfd Simulation Openfoam jobs are:

Cfd Simulation Openfoam jobs near you
Infographic showing various Cfd Simulation Openfoam job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Founding Simulation Engineer - Godela

Godela (YC X25)

San Francisco, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Godela is a pioneering company focused on building a Physics Foundation Model, an AI platform designed to predict and simulate physical behavior. They are looking for a Founding Simulation Engineer to define data methodologies and validation strategies to ensure their models accurately reflect the complexities of the physical world.
Responsibilities:
• Define the methodology for representing physical systems in data and models—balancing accuracy, scale, and generalization.
• Own the strategy for validating and verifying our model outputs against ground-truth simulation and experimental data.
• Generate and curate simulation data across multiple physics domains (CFD, FEA, multiphysics), ensuring high-fidelity coverage of complex behaviors.
• Build scalable pipelines and standards for turning simulation and experimental data into training-ready datasets.
• Drive the research and engineering of novel techniques for data augmentation, curation, and generation.
• Collaborate with ML researchers to integrate new architectures, ensuring data and models align with physical truth.
• Work directly with the founders to set strategy: which physical behaviors to target, how to represent them, and how to scale methods across domains.
Qualifications:
Required:
• Hands-on CAD generation and Simulation Expertise: Deep experience with one or more simulation domains (e.g., CFD, FEM, DEM) and commercial or open-source solvers (e.g., Star-CCM+, Fenics/dolfinx, OpenFOAM).
• Robust Programming Skills: Strong proficiency in Python is a must. Experience with C++ or other compiled languages for performance-critical tasks is a big plus.
• Data Pipelining Experience: Proven track record of building and managing data pipelines for large datasets, preferably in a scientific or engineering context.
• Problem-Solving Mentality: A demonstrated ability to creatively solve complex, unstructured problems.
Preferred:
• Solver development experience
• Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow.
• Experience with parallel and distributed computing for simulation or data processing.
• Experience with Graph Neural Networks, Physics-Informed Neural Networks, Neural Operators, and Transformer architectures
• System-Level Thinking: Experience with cloud computing platforms (AWS, GCP, or Azure) and high-performance computing (HPC) environments (Slurm, PBS).
Company:
AI-powered physics models that replace simulation. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

Apply