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Openfoam Jobs (NOW HIRING)

Via Logic LLC

Mechanical Engineer

Rockaway, NJ · On-site

Deep theoretical and practical knowledge of fluid mechanics, heat transfer, and thermodynamics; proficiency with industry‑standard tools such as ANSYS Fluent, OpenFOAM, STAR‑CCM+, and custom ...

Last Energy

Thermofluids Engineer

Austin, TX

Expert proficiency in Computational Fluid Dynamics (CFD) software (e.g., ANSYS Fluent, STAR-CCM+, OpenFOAM) and system-level thermal-hydraulic codes. * Adept at solving complex thermal and fluid ...

Leidos

Mechanical Engineer

Wharton, NJ · On-site

$107K - $195K/yr

Proficiency in running complex models using industry-standard tools (e.g., ANSYS Fluent, OpenFOAM, STAR-CCM+) as well as custom environments. Programing skills - Strong proficiency in writing new ...

WSP

CFD Analyst (Mission Critical/Data Center)

Troy, NY · On-site

$91K - $129K/yr

Demonstrated experience in understanding and using CFD analysis software (FloEFD, STAR CCM+, Fluent, FDS, OpenFOAM, 6SigmaRoom) * Familiarity with software development for writing User Defined ...

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How much do openfoam jobs pay per hour?

As of Sep 10, 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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Openfoam jobs near you
Infographic showing various Openfoam job openings in the United States as of September 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Software Engineer, Engineering Simulation & Automation (Vehicle Engineering)

Hawthorne, CA • On-site

SpaceX
Aerospace Product and Parts Manufacturing • 1 - 5K employees
Learn more about SpaceXexternal

$125K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

18th of 72 rated aerospace companies

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SOFTWARE ENGINEER, ENGINEERING SIMULATION AND AUTOMATION (VEHICLE ENGINEERING)
Be a member of the AI for Vehicle Engineering team, focusing on developing automated simulation tools and pipelines to accelerate engineering for our launch vehicles and spacecraft and generate high-quality training datasets for surrogate models at scale.
Our team builds AI systems that accelerate engineering analysis, simulation, development, testing, avionics design, flight data review, logistics, and mission operations. Your work will directly support the world's largest communication and AI satellite constellations, accelerate rapid reuse of the Falcon launch vehicle, and contribute to the development of the world's largest rocket capable of sending humans to Mars.
In this role, you will design, develop, and maintain scalable simulation automation pipelines that create the large, diverse, and well-curated datasets required to train production-grade AI surrogate models. You will also work closely with domain experts to unblock engineering and analysis bottlenecks at SpaceX via simulation automation. You will leverage commercial, in-house, and open source simulation tools across FEA, CFD, thermal, and structural domains, writing custom scripts against their APIs to automate geometry parameterization, meshing, solving, post-processing, and data extraction at scale. You will also create general automation tools to accelerate day-to-day engineering workflows. You will work closely with ML surrogate modeling engineers, domain experts, and hardware engineers to ensure generated data and tools optimally support AI surrogates and broader engineering productivity.
RESPONSIBILITIES:
  • Develop and maintain automated simulation pipelines that generate training datasets for AI surrogate models at scale
  • Partner with domain engineers to identify bottlenecks and build custom tools that improve productivity and reduce manual effort
  • Create and optimize scripts using APIs such as ANSA Python API, Star-CCM+ Java/Python macros, OpenTD, Abaqus, or equivalent tools
  • Build parametric workflows for geometry variation, automated meshing, batch simulation execution, and result extraction
  • Orchestrate large-scale simulation campaigns on HPC clusters using job schedulers and workflow managers
  • Collaborate closely with ML engineers to understand dataset requirements and iteratively improve data quality and diversity
  • Implement data management, cleaning, metadata tagging, and versioned storage of simulation results
  • Develop general automation tools and scripts to accelerate engineering workflows across simulation, analysis, design, and testing tasks
  • Deep dive into engineering physics domains to ensure simulation setups are accurate, robust, and efficient for surrogate training
  • Integrate simulation tools with version control, CI/CD pipelines, and monitoring systems for reproducible datasets
  • Stay current with advances in simulation automation, meshing technology, and best practices for ML-ready datasets

BASIC QUALIFICATIONS:
  • Bachelor's degree in engineering, computer science, data science, math, physics, or a related technical discipline; OR 4+ years of professional experience building software or simulation pipelines in lieu of a degree
  • 1+ years of software development experience
  • 1+ years of hands-on experience with at least one simulation domain (CFD, FEA, thermal, structural analysis, etc.)

PREFERRED SKILLS:
  • Experience with ANSA, Star-CCM+, OpenFOAM, Abaqus, OpenTD, OpenFOAM, CalculiX or similar commercial/in-house/open source simulation tools
  • Strong proficiency scripting simulation APIs (especially ANSA Python API or Star-CCM+ automation)
  • Demonstrated success building automated workflows that run thousands of simulations for dataset generation
  • Understanding of Design of Experiments (DOE) and sampling techniques such as Latin Hypercube (LHS)
  • Experience working in HPC environments with job schedulers such as Slurm or equivalent
  • Familiarity with surrogate modeling concepts and the data requirements of neural operators, FNOs, physics-informed ML, or similar models
  • Familiarity with deep learning and preparing data for ML workflows
  • Proficiency with Python for scientific computing and automation
  • Experience developing on Linux systems
  • Strong understanding of version control, testing, continuous integration, build, deployment, and monitoring
  • Good understanding of statistics, numerical methods, and core engineering simulation techniques

ADDITIONAL REQUIREMENTS:
  • Ability to work extended hours and weekends as necessary

COMPENSATION AND BENEFITS:
Pay Range:
AI Software Engineer/Level I: $125,000.00 - $145,000.00/per year
AI Software Engineer/Level II: $145,000.00 - $175,000.00/per year
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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About SpaceX

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Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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