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Phd Cfd Computational Engineer Jobs (NOW HIRING)

PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering * Expertise in one or more of the following topics: * Linear solvers and convergence acceleration of CFD ...

The team enables informed decision‑making through computational analysis and simulation. The Role The Senior CFD Analysis Engineer owns delivery of analysis and synthesis of results in the ...

PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering * Expertise in one or more of the following topics: * Linear solvers and convergence acceleration of CFD ...

PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering * Expertise in one or more of the following topics: * Linear solvers and convergence acceleration of CFD ...

## CFD Analyst IIIApplylocations: Greater Seattle Area: Huntsville, ALtime type: Full timeposted on ... Engineering, or a related discipline with a focus on thermal/fluid sciences or computational ...

Build and extend the computational tools used to characterize the aerothermal environment around ... PhD in Aerospace or Mechanical Engineering, Applied Mathematics, or a related field * Familiarity ...

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Phd Cfd Computational Engineer information

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How much do phd cfd computational engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for phd cfd computational engineer 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 is a PhD CFD computational engineer?

A PhD CFD Computational Engineer is an expert who holds a doctoral degree and specializes in Computational Fluid Dynamics (CFD). They use advanced mathematics, physics, and computer simulations to analyze fluid flows and related physical phenomena. These engineers develop and apply CFD models to solve complex engineering problems in industries such as aerospace, automotive, and energy. Their work often involves research, code development, and optimization of fluid systems to improve performance and efficiency.

What are typical collaboration opportunities for a PhD CFD computational engineer within a multidisciplinary team?

As a PhD CFD Computational Engineer, you frequently collaborate with mechanical engineers, software developers, and experimental scientists to ensure simulation models accurately reflect real-world scenarios. You may work closely with design teams to optimize product performance based on CFD results, and with IT specialists to implement high-performance computing solutions. Effective communication and teamwork are vital, as your input often influences design choices, testing procedures, and project timelines.

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

To thrive as a PhD CFD Computational Engineer, you need deep expertise in fluid dynamics, numerical methods, and advanced programming, typically backed by a doctoral degree in engineering or a related field. Familiarity with CFD software (such as ANSYS Fluent, OpenFOAM), high-performance computing environments, and coding languages like C++ or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable you to develop accurate simulations, interpret complex data, and collaborate effectively on multidisciplinary engineering projects.

What is the difference between Phd Cfd Computational Engineer vs Mechanical Engineer?

AspectPhd Cfd Computational EngineerMechanical Engineer
Required CredentialsPhD in Mechanical Engineering, Aerospace, or related field; CFD certificationsBachelor's or Master's in Mechanical Engineering; some roles may require certifications
Work EnvironmentResearch labs, simulation centers, aerospace or automotive industriesDesign offices, manufacturing plants, R&D departments
Industry UsageSpecialized CFD modeling, simulation, and analysis for fluid dynamics problemsDesign, analysis, and testing of mechanical systems, including fluid systems

The main difference is that Phd Cfd Computational Engineers focus on advanced fluid dynamics simulations and research, often requiring a PhD and specialized CFD expertise. Mechanical Engineers have a broader scope, including design and manufacturing, with less emphasis on specialized CFD work. Both roles are vital in industries like aerospace, automotive, and energy, but they differ in their focus and level of specialization.

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Infographic showing various Phd Cfd Computational Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $93,015 per year, or $44.7 per hour.

CFD Solver Developer

Watertown, MA • On-site

Flexcompute Inc.
Software Development • 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 hours ago


Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. 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 industry with our fast-growing trajectory
Job Summary:
Flexcompute is seeking an experienced software developer to contribute to a modern Computational Fluid Dynamics simulation software designed for multi-node CPUs and GPUs. The successful candidate will have a critical role in designing and implementing cutting-edge algorithms with an emphasis on speed, robustness, accuracy, and scalability. This position offers a unique opportunity to explore state-of-the-art CFD and computational geometry algorithms in a production environment. The candidate will gain experience working with highly experienced professionals and be an integral part of the product development, release, maintenance, and support phases. Over time, the strong collaborative nature of this role offers exposure to Flexcompute's sophisticated multi-physics simulation and design optimization technologies.
What You Will Do:
  • Independently implement, test, and document new solver and meshing features
  • Profile and optimize feature implementation to improve speed and scalability on CPUs/GPUs
  • Contribute to a clean and maintainable API for various functionalities
  • Contribute to general source code maintenance and other relevant software development activities (bug fixes, support, etc)
  • Collaborate with teams developing the user-interface and scientific visualization tools/technologies
  • Collaborate with Product Management, QA, and Documentation teams to accomplish product milestones in a timely manner
  • Follow sound software engineering practices. The code we write today will underpin our platform simulation products for years to come - it needs to be maintainable, extensible and robust
  • Make user experience a priority. We strive to make the complexity inherent in fluid simulations manageable by way of intuitive controls and straightforward workflows
  • Deliver robust and high-performance simulations for industrial applications that involve management of large amounts of data

Requirements
Basics:
  • Strong background in Fluid Mechanics, Structural Mechanics, Aeroacoustics, Conjugate Heat Transfer, or adjacent fields
  • Knowledge of numerical methods for solving discretized Navier Stokes equations for Incompressible or Compressible Flows
  • Basics of computational geometry and meshing requirements for CFD simulations
  • Proven experience in and contributions to complex CFD solvers
  • C++ for scientific computing and Python (or similar) for scripting
  • Master degree or PhD in an applicable technical field with 0-3 years of industry experience
  • Familiar with version control systems such as git and the Linux command line
Preferred:
  • Industry experience with implementation and testing of new features in commercial CFD solvers
  • Prior experience in working collaboratively in a medium sized distributed development team
  • PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering
  • Expertise in one or more of the following topics:
    • Linear solvers and convergence acceleration of CFD solvers (Multigrid algorithms, etc)
    • Immersed Boundary, Overset, Adaptive Mesh Refinement methods
    • Turbulence modeling and wall-functions (RANS, hybrid RANS-LES)
    • Multi-physics simulations: including fluid-structure interaction and conjugate heat transfer
    • Surface and volumetric meshing for CFD
    • Development of scalable, parallel CFD solvers using MPI, OpenMP, or CUDA

How You Will Be Successful:
We welcome you to apply even if you don't match every requirement posted for this role. No one candidate will be a 100% perfect match to our description, so if you are passionate about working on the next evolution in simulation software and have similar experience to what we are looking for, we encourage you to apply. Diverse backgrounds and experiences promote innovation, and our goal is to build a team that encompasses a variety of backgrounds, experiences, and skills.
Benefits
  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.

Join Us
As our market and products grow, we are rapidly expanding and searching for partners who are eager to grow in a dynamic environment, possess an entrepreneurial spirit, and can scale our team. Flexcompute is dedicated to providing equal employment opportunities. We firmly believe that talent from diverse backgrounds can bring our company a rich and varied perspective. We warmly welcome candidates from all backgrounds to join us on this passionate and challenging journey, together facing the most compelling challenges in engineering computation.
Join Flexcompute, where your expertise in advanced computing will contribute to accelerating innovation in various fields for the next industrial renaissance.
Flexcompute is dedicated to promoting diversity, equity, and inclusion in the workplace. We are an equal opportunity employer that recognizes the value of diverse perspectives in achieving our mission. We encourage candidates from all backgrounds to apply.