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Cfd Graduate Jobs (NOW HIRING)

Relativity Space

Sr Aerodynamics Engineer

Long Beach, CA · On-site

$109K - $150K/yr

Proficiency in Python and industry-standard CFD tools like FUN3D or Star-CCM+, including use of HPC clusters Nice to Haves, but Not Required: * Graduate degree in engineering or related field * 10+ ...

Relativity Space

Aerodynamics Engineer I

Long Beach, CA · On-site

Exposure to industry-standard CFD tools like FUN3D or Star-CCM+ Nice to Haves, but Not Required: * Graduate degree in engineering or related field * Familiarity with hardware design using aerodynamic ...

Relativity Space

Aerothermal Engineer II

Long Beach, CA · On-site

Proficiency in Python and industry-standard CFD tools like FUN3D and Star-CCM+, including use of HPC clusters Nice to Haves, but Not Required: * Graduate degree in engineering or related field * 5+ ...

Relativity Space

Aerodynamics Engineer I

Long Beach, CA · On-site

Exposure to industry-standard CFD tools like FUN3D or Star-CCM+ Nice to Haves, but Not Required: * Graduate degree in engineering or related field * Familiarity with hardware design using aerodynamic ...

Relativity Space

Sr Aerodynamics Engineer

Long Beach, CA · On-site

$132K - $198K/yr

Proficiency in Python and industry-standard CFD tools like FUN3D or Star-CCM+, including use of HPC clusters Nice to Haves, but Not Required: * Graduate degree in engineering or related field * 10+ ...

Relativity Space

Sr Aerodynamics Engineer

Long Beach, CA · On-site

$132K - $198K/yr

Proficiency in Python and industry-standard CFD tools like FUN3D or Star-CCM+, including use of HPC clusters Nice to Haves, but Not Required: * Graduate degree in engineering or related field * 10+ ...

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Cfd Graduate information

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$93K

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How much do cfd graduate jobs pay per year?

As of Jul 3, 2026, the average yearly pay for cfd graduate in the United States is $93,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a CFD Graduate, and why are they important?

To thrive as a CFD Graduate, you need a solid background in fluid dynamics, numerical methods, and a relevant engineering or science degree. Familiarity with CFD software such as ANSYS Fluent, OpenFOAM, or COMSOL, and proficiency in programming languages like Python or MATLAB, are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills are crucial soft skills for success. These skills and qualifications are essential for accurately simulating and analyzing fluid flows, contributing valuable insights to engineering projects, and collaborating within multidisciplinary teams.

What is the difference between Cfd Graduate vs Cfd Analyst?

AspectCfd GraduateCfd Analyst
Required CredentialsDegree in engineering, physics, or related field; basic knowledge of CFD softwareSimilar degree; additional certifications or experience preferred
Work EnvironmentEntry-level, training-focused, collaborative teamsMore independent, project-driven, client-facing
Employer & Industry UsageEngineering firms, research institutions, manufacturingConsulting firms, aerospace, automotive, energy sectors
Search & Comparison IntentUnderstanding entry-level roles, career pathJob responsibilities, experience requirements

The main difference between a Cfd Graduate and a Cfd Analyst lies in experience and responsibilities. A Cfd Graduate is an entry-level position focused on training and learning, while a Cfd Analyst is a more experienced role involving independent project work and client interaction. Both roles require similar educational backgrounds, but the analyst position typically demands additional experience and expertise.

What are CFD Graduates?

CFD Graduates are recent university graduates who specialize in Computational Fluid Dynamics (CFD), which involves using numerical analysis and algorithms to solve and analyze problems that involve fluid flows. They typically have backgrounds in fields such as mechanical engineering, aerospace engineering, or applied mathematics. CFD Graduates often work on simulations and modeling for industries like automotive, aerospace, energy, and environmental engineering. They use specialized software to predict how fluids behave under various conditions, contributing to product design, safety, and efficiency improvements.

What are some typical challenges faced by CFD Graduates in their first year, and how can they overcome them?

CFD Graduates often encounter steep learning curves when transitioning from academic theory to practical, real-world simulations. Common challenges include mastering complex simulation software, interpreting large datasets, and understanding the nuances of industry-specific workflows. To overcome these, it's helpful to proactively seek mentorship from experienced colleagues, participate in internal training sessions, and regularly review project feedback. Collaborating closely with multidisciplinary teams also accelerates learning and helps bridge gaps between theoretical knowledge and practical application.
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Cfd Graduate jobs near you
Infographic showing various Cfd Graduate job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $93,015 per year, or $44.7 per hour.

CFD Engineer - AI Task Designer Remote (OpenFOAM)

Alignerr

Remote

$80 - $110/hr

Contractor

Posted 14 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