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Entry Level Cfd Simulation Engineer Jobs (NOW HIRING)

Support new product development (NPD) through CAE simulations, including CFD and FEA ... Support the Advanced Engineering team in the research and development of new to market products and ...

CFD Analyst

Winston Salem, NC · On-site

$44 - $47/wk

... in Mechanical or Aerospace Engineering. - 2 + years of experience in CFD. - Experience in ... of CAE simulation tools. - Experience with geometry cleanup skills in a commercial CAE pre ...

Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation ...

Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation ...

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Entry Level Cfd Simulation Engineer information

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$39K

$123.4K

$190.5K

How much do entry level cfd simulation engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level cfd simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry level CFD simulation engineers, and how can they be overcome?

Entry Level CFD Simulation Engineers often encounter challenges such as interpreting complex simulation results, learning to use advanced CFD software tools, and ensuring the accuracy of their models. Collaborating closely with senior engineers and participating in regular team reviews can help address these issues. Additionally, proactive learning, seeking feedback, and staying updated with the latest computational techniques are effective strategies for overcoming these challenges and growing professionally in the role.

What is the difference between Entry Level Cfd Simulation Engineer vs Mechanical Design Engineer?

AspectEntry Level Cfd Simulation EngineerMechanical Design Engineer
Required CredentialsBachelor's in Mechanical, Aerospace, or related engineering; knowledge of CFD softwareBachelor's in Mechanical or Aerospace Engineering; CAD software proficiency
Work EnvironmentResearch labs, engineering firms, simulation centersDesign offices, manufacturing plants, R&D departments
Industry UsageAutomotive, aerospace, energy sectors focusing on fluid dynamicsConsumer products, machinery, automotive industries focusing on product design
Common Search/ComparisonYesYes

The Entry Level Cfd Simulation Engineer primarily focuses on fluid dynamics simulations using CFD software, often in research or development settings. In contrast, Mechanical Design Engineers concentrate on creating and testing mechanical components and systems through CAD tools. While both roles require a mechanical engineering background, CFD engineers emphasize simulation skills, whereas design engineers focus on physical product development.

What does an entry level CFD simulation engineer do?

An Entry Level CFD (Computational Fluid Dynamics) Simulation Engineer assists in creating and running simulations to analyze how fluids (liquids and gases) behave in different environments, such as inside engines, pipes, or around vehicles. They use specialized software to model fluid flow, temperature, and related physical phenomena, helping engineers optimize designs for efficiency and safety. Their work often includes preparing geometry, setting up simulations, analyzing results, and documenting findings under the supervision of more experienced engineers.

What are the key skills and qualifications needed to thrive as an entry level CFD simulation engineer, and why are they important?

To thrive as an Entry Level CFD Simulation Engineer, you need a solid background in fluid dynamics, heat transfer, and numerical methods, usually supported by a degree in mechanical, aerospace, or related engineering fields. Familiarity with CFD software such as ANSYS Fluent, OpenFOAM, or STAR-CCM+, as well as proficiency in programming languages like Python or MATLAB, is typically required. Strong analytical thinking, attention to detail, and the ability to communicate technical findings clearly are standout soft skills. These competencies are essential for accurately modeling physical phenomena, interpreting simulation data, and effectively collaborating with multidisciplinary teams.
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Infographic showing various Entry Level Cfd Simulation Engineer job openings in the United States as of July 2026, with employment types broken down into 52% Locum Tenens, 35% Full Time, 1% Part Time, 1% Contract, and 11% Nights. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.

Accelerated Physics Simulation Engineer - Agentic Computational Engineering (ACE)

Voyager Technologies, Inc.

Los Angeles, CA

Other

Medical, Retirement, PTO

Posted 2 days ago

New


Job description

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we're building technologies that protect lives, expand frontiers and prepare us for what's next. And we're doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. 

You'll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We're a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person,forge the future with Voyager. 

____________________________________________________________________________________ 

Job Summary: 

We are seeking an Accelerated Physics Simulation Engineer. In this role, you will develop fast, high-fidelity physics simulation capabilities that allow AI agents to evaluate and optimize hardware designs over millions of design iterations.

You will work at the intersection of numerical methods, GPU computing, and machine learning surrogates. You will help build differentiable and surrogate physics models that can be called directly by ACE agents, and you will validate them against high-fidelity solvers and real test data. This role is ideal for a computational scientist or engineer who loves PDEs, GPUs, and turning overnight runs into millisecond-scale kernels-and who uses AI tools as a force multiplier, not a curiosity.

You will be joining the Agentic Computational Engineering (ACE) team, a specialized group within our Advanced Technology Development organization. ACE is responsible for building Voyager's Generative Engine - the AI-native platform that compresses complex hardware development cycles from years to days. We design agentic AI systems that pair deeply with physics simulation, test data, and modern manufacturing so that Design for Manufacturing (DfM), Design for Assembly (DfA), and Design for Test (DfT) are built into the very first line of code and the very first sketch of a design.

Responsibilities: 

  • Design and implement fast physics solvers (e.g., CFD, thermal, structural, plasma) suitable for use inside agentic optimization loops.
  • Develop surrogate models (e.g., physics-informed neural networks, neural operators, graph neural networks) that approximate high-fidelity simulations at orders-of-magnitude lower cost.
  • Integrate accelerated solvers and surrogates into the ACE platform so AI agents can call them as tools during design and optimization.
  • Work with the ACE Applications Lead (Mechanical/Propulsion) to identify key regimes and quantities of interest and to ensure that accelerated models remain physically credible.
  • Create and curate training and validation datasets by coupling commercial or open-source solvers (e.g., Ansys, COMSOL, Star-CCM+, OpenFOAM) with automated parameter sweeps.
  • Profile and optimize GPU kernels and numerical pipelines, targeting large speedups over baseline codes while preserving required accuracy.
  • Develop test harnesses, benchmarks, and diagnostics that track accuracy, stability, and performance of accelerated models over time.
  • Use LLMs to accelerate boilerplate coding, experiment scripting, and documentation so you can focus on core numerical and physical insights.
  • Leverage the most advanced LLMs and tooling to assist with complex mathematics and numerical simulation generation.

Required Qualifications:  

  • PhD in Computational Physics, Mechanical or Aerospace Engineering, Applied Mathematics, Computer Science (with a focus on numerical methods), or a related field; or Master's degree + 3 years of highly relevant experience.
  • 0-3 years of post-PhD industry, startup, or postdoctoral experience (or 3-6 years total experience working in computational science/engineering).
  • Hands-on experience implementing numerical methods for PDEs (e.g., FEM, FVM, FDM, particle or mesh-free methods) in research or production environments.
  • Experience with at least one major scientific computing or ML framework (e.g., JAX, PyTorch, TensorFlow) and one GPU or performance-oriented technology (e.g., CUDA, PhysicsNEMO, etc).
  • Demonstrated experience speeding up simulations or building surrogate models for physics problems, with quantitative before/after results.
  • Demonstrated "AI-first" workflow: you use LLMs to help generate, refactor, and test code so you can spend more time on modeling and physics.

Preferred Qualifications:  

  • Experience with CFD, structural mechanics, heat transfer, or plasma physics as applied to aerospace or propulsion systems.
  • Experience with electrical, power, and electromagnetic simulations as applied to PCB or RF systems.
  • Prior work on physics-informed neural networks (PINNs), neural operators (FNO, UNO, etc.), or other ML-based surrogates for physical systems.
  • Experience coupling commercial or open-source solvers (e.g., Ansys, COMSOL, Star-CCM+, OpenFOAM) with custom automation or optimization code.
  • Familiarity with differentiable programming and adjoint methods for design optimization.
  • A track record of side projects, open-source contributions, or competition results that demonstrate deep enthusiasm for computational physics and performance engineering.

Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits.When you join our team, you're not just an employee; you become part of a dynamic community dedicated to innovation and excellence. 

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. 

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.