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Phd Cfd Computational Engineer Jobs in Florida (NOW HIRING)

Mainstream Engineering

Senior Thermal Engineer

Rockledge, FL · On-site

$92K - $122K/yr

... computational simulations (CFD and FEA), laboratory build and testing, and direct customer ... PhD ME preferred, will consider MSME candidates * US Citizenship required due to strict ITAR ...

Aerosonic

Aeronautical Engineer

Clearwater, FL · Hybrid

Duties and Responsibilities: § Conduct aerothermal analysis using Computational Fluid Dynamics (CFD) methods with oversight from senior engineers. § Support of wind tunnel test campaigns at ...

Aerosonic

Aeronautical Engineer

Clearwater, FL · On-site

Duties and Responsibilities: § Conduct aerothermal analysis using Computational Fluid Dynamics (CFD) methods with oversight from senior engineers. § Support of wind tunnel test campaigns at ...

Everforth, Cybercoders

Manufacturing Engineer

Naples, FL

$68K - $88K/yr

Manufacturing Engineer Manufacturing Engineer Position Overview We are seeking a Manufacturing ... Apply computational tools such as CFD or other simulation methods where applicable to optimize ...

EPS Corporation

MECHANICAL ENGINEER

Panama City, FL

... computational fluid dynamics (CFD) for submersible vehicle structures and components. Generate and ... Minimum 5 years of mechanical engineering experience, with demonstrated work supporting naval or ...

Mainstream Engineering

Senior Thermal Engineer

Rockledge, FL · On-site

$92K - $127K/yr

... computational simulations (CFD and FEA), laboratory build and testing, and direct customer ... Engineering Corporation is an equal opportunity employer. Qualified candidates will be considered ...

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Phd Cfd Computational Engineer information

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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For Phd Cfd Computational Engineer jobs in Florida, the most frequently searched job titles are:

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The top searched job categories for Phd Cfd Computational Engineer jobs in Florida are:

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Phd Cfd Computational Engineer jobs near you

Computational Geometry Engineer

Siemens Energy, Inc.

Orlando, FL • On-site

$104K - $122K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

115th of 490 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
Shape the Future of Turbomachinery Innovation. Join a team at the forefront of advanced engineering, where mathematics, computational physics, and optimization come together to redefine how complex turbomachinery components are designed. This is not traditional CAD engineering. It's an opportunity to build the next generation of geometry modeling methods, algorithms, and digital workflows that power breakthrough performance across multidisciplinary optimization environments.
If you're energized by solving difficult problems through equations, fields, and computational methods, and thrive at the intersection of applied mathematics, fluid dynamics, structural mechanics, and software-enabled engineering, we want to hear from you. Help pioneer the tools, methodologies, and innovations that will shape the future of turbomachinery design.
How You'll Make an Impact
  • Develop advanced computational geometry methods and algorithms for turbine component design, including blades, cooling channels, casings, lattice structures, and additive manufacturing applications.
  • Translate aerodynamic, thermal, and structural engineering requirements into robust mathematical and geometry-based design models.
  • Implement, validate, and optimize implicit CAD methodologies, creating reusable modules and best practices for scalable deployment.
  • Build and maintain integration frameworks linking computational geometry with optimization, manufacturing simulation, and CAE workflows.
  • Document, standardize, and transfer geometric modeling methods to engineering teams to drive adoption and long-term capability growth.
  • Partner closely with aerodynamics, design engineering, simulation, and additive manufacturing teams to advance computational geometry capabilities and support product development initiatives.
  • Continuously improve design workflows by developing generalizable, efficient, and reusable computational geometry solutions.
What You Bring
  • Master's degree in Mathematics, Applied Mathematics, Physics, or a related field required; PhD preferred, with strong computational physics expertise in fluid dynamics, heat transfer, structural mechanics, or similar domains.
  • 3-8+ years' (or relevant PhD research) in computational geometry, generative design, or related fields, combined with a highly motivated, self-directed mindset and exceptional communication and collaboration skills. Candidates with more years of experience may be considered at a higher level.
  • Differential geometry, linear algebra, numerical methods, computational geometry, and mathematical modeling for engineering applications.
  • Programming skills in Python and C++ (or another compiled language), with experience developing mathematical and geometric modeling solutions.
  • Hands-on Git/GitLab, Linux environments, and modern engineering software development practices.
  • Implicit geometry modeling, signed distance fields, lattice topology, and geometry design platforms such as nTop, or the ability to rapidly learn them.
  • Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
Preferred:
  • Advanced Degree in Mathematics, Applied Mathematics, Computer Science, or a related field, paired with exceptional analytical thinking and abstract mathematical problem-solving skills.
  • Developing implicit geometry, field-based design, and parametric modeling solutions for complex engineering applications.
  • Computational physics, including CFD, fluid dynamics, structural analysis, and mechanics.
  • Working in high-performance computing (HPC) environments to solve large-scale computational challenges.
  • Developing APIs, automation frameworks, and scalable toolchains that accelerate engineering workflows.
  • Applying machine learning and AI techniques to 3D CAE, simulation-driven design, and computational engineering workflows.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. Citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards/Benefits
  • Career growth and development opportunities
  • Supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
#TeamPurple #ELECTRON
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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