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Cfd Simulation Openfoam Jobs (NOW HIRING)

Aerodynamics Engineer

Voorheesville, NY · On-site

$128K - $150K/yr

... Cfd, Aerodynamics, Simulation, Compressor, Ansys, openfoam, python, thermodynamics, Automotive design Top Skills Details Cfd,Aerodynamics,Simulation,Compressor,Ansys Additional Skills ...

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Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD ... Experience working with numerical solvers for complex physics domains (e.g., tools like OpenFOAM ...

Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD ... Experience working with numerical solvers for complex physics domains (e.g., tools like OpenFOAM ...

Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD ... Experience working with numerical solvers for complex physics domains (e.g., tools like OpenFOAM ...

Develop and execute CFD models for thermal-fluid analysis. * Perform simulations involving ... OpenFOAM). * Strong background in numerical methods for fluid flow and heat transfer. * Ability to ...

Mechanical Engineer

Wharton, NJ · On-site

$107K - $195K/yr

... CFD) models for various fluid flow and thermal systems. Modeling & Simulation: Develop robust ... Proficiency in running complex models using industry-standard tools (e.g., ANSYS Fluent, OpenFOAM ...

... CFD) models for various fluid flow and thermal systems. Modeling & Simulation: Develop robust ... Proficiency in running complex models using industry-standard tools (e.g., ANSYS Fluent, OpenFOAM ...

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Cfd Simulation Openfoam information

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$11K

$67.6K

$121.5K

How much do cfd simulation openfoam jobs pay per year?

As of Jul 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 are the key skills and qualifications needed to thrive as a CFD Simulation Engineer using OpenFOAM, and why are they important?

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 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 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 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 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:
Infographic showing various Cfd Simulation Openfoam job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.
Senior Forward Deployed Engineer - CFD

Senior Forward Deployed Engineer - CFD

Luminary Cloud

San Mateo, CA • On-site

$119K - $163K/yr

Full-time

Posted 15 days ago


Job description

Full-time position | San Mateo, CA (Onsite)
JOIN THE REVOLUTION IN ENGINEERING INNOVATION
Luminary helps engineering companies be more competitive by getting to market faster, creating better products, and reducing development risk. We do this through our Physics AI platform - the fastest and easiest way to build and deploy models that understand and instantly predict physical reality with precision. Our customers span industries from automotive and aerospace to defense, industrial, semiconductors, and energy - ranging from hyper-growth startups to Fortune 100 enterprises. Luminary is a Series B company headquartered in San Mateo, California.
YOUR IMPACT
As a Senior Forward Deployed Engineer in Luminary's Applications Engineering team, you are the physics-domain expert inside customer value delivery teams. You work in a matrix structure under a Lead Delivery Engineer (LDE) alongside Applied AI/ML Scientists, Data & Platform engineers, and selected product engineers. Your job is to take the hardest engineering simulation problems a customer brings and translate them into deployed Physics AI solutions - from data generation, through model development, into production engineering workflows. You operate at the boundary of cutting-edge research and real-world engineering practice, embedded shoulder-to-shoulder with customer engineers.
WHAT YOU'LL DO
  • Lead the technical implementation of Physics AI engagements as the resident physics-domain expert within the customer value delivery team.
  • Translate customer engineering problems into simulation campaigns, training datasets, and surrogate model architectures.
  • Set up and run simulations that produce high-quality training data, working with customer subject-matter experts to validate physical fidelity.
  • Partner with Applied AI/ML Scientists on model selection, training, and validation against ground-truth simulations.
  • Work with Data & Platform engineers to integrate models into customer engineering workflows.
  • Co-engineer with customer engineers - visible, collaborative, building trust through technical credibility and shipped outcomes.
  • Travel to customer sites as needed to support deployment, training, and engagement reviews.
  • Bring customer signal back to Product and Research, shaping Luminary's simulation and Physics AI roadmap.

WHAT YOU BRING
  • Industrial CFD experience - external/internal aerodynamics, turbomachinery, HVAC, or multi-phase flow - and a passion for engaging customers and traveling onsite.
  • Proficiency in Python for scripting and automation, familiarity with a primary deep learning framework (e.g. PyTorch), and API/SDK workflows.
  • Hands-on experience with Physics AI or physics-informed ML models applied to engineering simulation (e.g., surrogate modeling, neural operators, or data-driven solvers).
  • Hands-on experience with containerization, distributed computing environments, and version control systems.
  • Tech-savvy mindset with enthusiasm for advanced computing and simulation technologies.
  • Self-starter mentality with the ability to work independently and drive results.
  • Exceptional communication skills, particularly when engaging with technical audiences.

PREFERRED QUALIFICATIONS
  • An engineering or physics background (e.g., Mechanical, Aerospace, Chemical) with demonstrated expertise in computational fluid dynamics and Physics AI.
  • Experience with CFD software - such as ANSYS Fluent, OpenFOAM, Star-CCM+, or similar - and associated meshing, turbulence modeling, and post-processing workflows.
  • Familiarity with physics-informed AI/ML frameworks (e.g. PhysicsNeMo), or equivalent experience developing and deploying surrogate models for fluid dynamics simulation.