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Openfoam Jobs (NOW HIRING)

Saanvi Technologies

CFD Engineer

Raymond, OH ยท On-site

Conduct CFD simulations using tools such as STAR-CCM+, Fluent, and OpenFOAM * Analyze simulation results and provide actionable insights for design improvements * Collaborate with cross-functional ...

Panthalassa

Senior Computational Engineer

Portland, OR

$110K - $152K/yr

Use Helyx, OpenFOAM, and/or Star-CCM+ to evaluate optimized geometries and operating conditions generated by fast-running time-domain simulation, Boundary Element Method (BEM), and fleet deployment ...

Rheem

Research Engineer III

Roswell, GA ยท On-site

Use commercial or open-source CFD software (e.g., StarCCM+, ANSYS Fluent, CONVERGE, OpenFOAM) to solve complex fluid flow problems. * Develop simulation techniques in CFD, FEA, acoustics, casting ...

Purple Hires Inc

CFD Engineer

Irvine, CA ยท On-site

Hands-on experience with ANSYS Fluent, STAR-CCM+, CFX, or OpenFOAM. Bachelor / Master's degree in Mechanical or Industrial or Aerospace Engineering.

Panthalassa

Senior Computational Engineer

Portland, OR ยท On-site

$110K - $152K/yr

Use Helyx, OpenFOAM, and/or Star-CCM+ to evaluate optimized geometries and operating conditions generated by fast-running time-domain simulation, Boundary Element Method (BEM), and fleet deployment ...

Panthalassa

Senior Computational Engineer

Portland, OR

$110K - $152K/yr

Use Helyx, OpenFOAM, and/or Star-CCM+ to evaluate optimized geometries and operating conditions generated by fast-running time-domain simulation, Boundary Element Method (BEM), and fleet deployment ...

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How much do openfoam jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for openfoam in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

Will AI replace CFD engineers?

AI can assist CFD engineers by automating routine tasks and improving simulation efficiency, but it is unlikely to fully replace them. CFD engineering requires expertise in physics, problem-solving, and interpretation of results, which currently cannot be fully replicated by AI tools. Professionals in this field will continue to adapt by integrating AI with their skills to enhance simulation accuracy and productivity.

What is CFD engineer salary?

The salary of a CFD (Computational Fluid Dynamics) engineer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced engineers with specialized skills in tools like OpenFOAM can earn higher salaries, especially in sectors such as aerospace, automotive, or energy.

What is an OpenFOAM job?

An OpenFOAM job typically involves using the OpenFOAM software suite for computational fluid dynamics (CFD) simulations. Professionals in this role set up, run, and analyze fluid flow simulations for applications in engineering, physics, and other scientific domains. Responsibilities may include developing custom solvers, optimizing simulation performance, and integrating OpenFOAM with other tools. Such jobs are common in industries like aerospace, automotive, energy, and research institutions. Proficiency in Linux, C++, and numerical methods is often required.

What are the key skills and qualifications needed to thrive in the Openfoam position, and why are they important?

To thrive in an OpenFOAM Engineer role, you need a strong background in computational fluid dynamics (CFD), programming, and applied mathematics, often supported by a degree in engineering or a related field. Proficiency with OpenFOAM software, Linux operating systems, and scripting languages like Python or Bash is highly valued, and certifications in CFD or related areas can be advantageous. Problem-solving, attention to detail, and effective communication are essential soft skills for collaborating with multidisciplinary teams and delivering accurate results. These skills ensure efficient simulation processes, robust data analysis, and successful project outcomes in technical engineering environments.

Is OpenFOAM as good as Ansys?

OpenFOAM and Ansys are both widely used computational fluid dynamics (CFD) tools, but Ansys generally offers a more user-friendly interface, extensive support, and a broader range of features suitable for complex simulations. OpenFOAM is open-source, highly customizable, and often preferred by users with strong programming skills or specific customization needs. The choice depends on the project requirements, budget, and user expertise.

Is CFD engineer a good career?

A CFD engineer specializes in computational fluid dynamics, using simulation software like OpenFOAM to analyze fluid flow and heat transfer. It is a technically demanding role that offers opportunities in industries such as aerospace, automotive, and energy, with a strong demand for skills in programming, physics, and engineering principles.

What are common challenges faced by OpenFOAM Engineers and how can they be managed?

OpenFOAM Engineers often encounter challenges such as handling complex geometries, ensuring simulation stability, and optimizing computational resources. Managing these issues typically requires strong troubleshooting skills, a good understanding of numerical methods, and the ability to modify or extend source code as needed. Collaboration with other engineers and regular participation in technical forums or user communities can help solve difficult problems more efficiently. Staying up to date with OpenFOAM updates and best practices is also crucial for continued success in this evolving field.

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What job categories do people searching Openfoam jobs look for? The top searched job categories for Openfoam jobs are:
Openfoam jobs near you
Infographic showing various Openfoam job openings in the United States as of July 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

CFD Engineer - AI Task Designer Remote (OpenFOAM)

Alignerr

Remote

$80 - $110/hr

Contractor

Re-posted 11 days ago

Job description

CFD Engineer - AI Task Designer
About the Role
What if your expertise in computational fluid dynamics could teach AI to reason about aerodynamics, boundary conditions, and flow physics - without you ever having to write a single line of machine-learning code?
We're looking for CFD engineers and aerodynamicists to design small, well-defined engineering challenges that train and evaluate AI models on real fluid-dynamics reasoning. Each task you create has three parts: a clear problem statement, a deterministic checker that scores the model's answer, and a trusted reference solution that proves the task is solvable. Think of it as writing bite-sized CFD exam problems - grounded in physics, unambiguous, and automatically gradable.
No reinforcement-learning or AI research background is required. What matters is your hands-on simulation experience and your ability to translate domain knowledge into precise, solvable tasks.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week

What You'll Do
  • Design compact, self-contained CFD and aerodynamics tasks that test an AI model's engineering reasoning
  • Write clear, unambiguous problem statements covering topics such as boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup
  • Develop deterministic scoring checkers that can automatically evaluate a model's final answer
  • Provide verified reference solutions that confirm each task is solvable and correctly scored
  • Review and iterate on tasks to ensure physical accuracy, clarity, and appropriate difficulty
  • Draw on your experience with OpenFOAM to ground tasks in real-world practice
  • Work independently and asynchronously - fully on your own schedule

Who You Are
  • Hands-on experience with OpenFOAM
  • Solid foundation in fluid mechanics, aerodynamics, and heat transfer fundamentals
  • Comfortable with mesh generation, turbulence modeling, boundary-condition specification, and post-processing
  • Able to formulate engineering problems that are precise, self-contained, and objectively verifiable
  • Strong written communication skills - you can explain complex physics clearly and concisely
  • Background in Aerospace Engineering, Mechanical Engineering, or a closely related discipline (BS or higher preferred)
  • Self-motivated and reliable when working independently without supervision

Nice to Have
  • Experience across multiple CFD solvers or multiphysics platforms
  • Familiarity with scripting or automation (Python, Bash, MATLAB) for setting up or post-processing simulations
  • Exposure to design optimization, flow-control strategies, or adjoint methods
  • Graduate-level coursework or research in aerodynamics, propulsion, or computational methods at institutions such as IITs, IISc, or NITs
  • Previous experience writing technical assessments, exam problems, or engineering challenges
  • Interest in how large language models reason about STEM problems

Why Join Us
  • Apply your CFD expertise to cutting-edge AI research alongside leading labs - from a completely new angle
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • No need to retrain as a data scientist - your engineering judgment is exactly what's needed
  • Contribute directly to teaching AI models real-world physical reasoning
  • Potential for ongoing work and contract extension as new projects launch

Apply