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Openfoam Jobs (NOW HIRING)

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 ...

Research Scientist

Worcester, MA · On-site

$50K - $60K/yr

The successful candidate will contribute to research that combines CFD modeling, primarily using ANSYS Fluent and OpenFOAM, with laboratory-based measurements and Machine Learning (AI). We are ...

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How much do openfoam jobs pay per hour?

As of Aug 19, 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.

What is an Openfoam?

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 skills and qualifications are needed for an Openfoam position?

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.

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 are the most commonly searched types of Openfoam jobs?

The most popular types of Openfoam jobs are:

Infographic showing various Openfoam job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 94% Full Time, 1% Part Time, and 3% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Combustion Engineer

Southwest Research Institute - Fulltime

San Antonio, TX • On-site

$94K - $129K/yr

Other

Re-posted 16 days ago


Southwest Research Institute rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

8th of 73 rated research


Job description

Who We Are: The Propulsion & Energy Machinery Section performs engineering R&D in the fields of gas turbine combustion, air-breathing propulsion, industrial heat and power, and liquid propulsion. Our technologies are powering a cleaner future and advancing state-of-the-art propulsion systems for air and space flight. Objectives of this Role: Support the development, analysis, and testing of power generation and propulsion systems, with a specific focus on combustion applications. Engage in the development of advanced computational models to explore complex combustion phenomena, contributing to cutting-edge research in thermofluids, power generation, and propulsion systems. Utilize expertise in heat transfer, fluid dynamics, gas dynamics, and combustion processes to optimize designs and improve performance in power generation and propulsion systems. Leverage state-of-the-art Computational Fluid Dynamics (CFD) software, including Ansys Fluent, Converge, and OpenFOAM to simulate flow conditions and analyze combustion processes in power generation and propulsion systems. Integrate experimental insights with simulation data to validate models and develop predictive capabilities for combustion processes in power generation and propulsion systems operating under extreme conditions. Daily and Monthly Responsibilities: Provide cross-disciplinary support to multiple projects within the field of combustion, focusing mainly on computational tasks. Conduct design, optimization, and validation of combustion processes using CFD. Contribute to the design of combustion processes for power generation and propulsion systems. Assist in executing experimental test campaigns, including data acquisition, processing, and analysis, to support model validation. Be a problem solver that exercises creativity and independent judgement in developing approaches to address a wide range of technical challenges. Requirements: Requires a Bachelors, Masters or a PhD in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or related engineering degree. 5 years relevant professional experience required with Bachelors degree, 3 years relevant professional experience required with Masters degree, and 1 year of related experience required with PhD. 1-5 years: Demonstrated experience in CFD simulations of thermofluids and combustion processes. Experience with supersonic and/or hypersonic flow simulations is preferred but not required. 1-5 years: Experience in computationally-aided design of propulsion and power generation systems. Experience in designing system components is also valued. 1-5 years: Demonstrated proficiency in using CFD software such as Ansys Fluent, Converge, STAR-CCM+, or OpenFOAM for simulating and analyzing combustion processes. Experience with additional simulation tools is preferred but not required. Experimental experience with combustion processes and mechanical design is highly desirable but not mandatory. MS or PhD degrees in engineering are preferred, but not required. Relevant degrees will also be considered. A valid/clear driver's license is required.

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