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Phd Cfd Computational Engineer Jobs in Florida (NOW HIRING)

Senior Thermal Engineer

Rockledge, FL · On-site

$92K - $127K/yr

Develop and evaluate computational models using CFD and FEA tools * Design, build, instrument, and ... Master's or PhD in Mechanical Engineering or Aerospace Engineering * Minimum of a 3.3 for all ...

Aeronautical Engineer

Clearwater, FL · On-site

$90 - $120/hr

Conduct aerothermal analysis using Computational Fluid Dynamics (CFD) methods with oversight from senior engineers. * Support of wind tunnel test campaigns at aerodynamic and icing facilities ...

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

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Conduct aerothermal analysis using Computational Fluid Dynamics (CFD) methods with oversight from senior engineers. * Support of wind tunnel test campaigns at aerodynamic and icing facilities ...

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

... 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 ...

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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.

What are popular job titles related to Phd Cfd Computational Engineer jobs in Florida?

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

What cities in Florida are hiring for Phd Cfd Computational Engineer jobs?

Cities in Florida with the most Phd Cfd Computational Engineer job openings:

AI Factory Thermal Cooling Simulation Engineer

Siemens Mobility

Tampa, FL • On-site

$102 - $211/hr

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Posted yesterday

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Siemens Mobility rating

7.6

Company rating: 7.6 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

251st of 494 rated machine equipment manufacturers


Job description

AI Factory Thermal Cooling Simulation Engineer

TheAIFactoryThermal Cooling Simulation Engineer is a critical technical specialist within Siemens’ AI Factory program, dedicated to the advanced modeling and simulation of thermal and cooling systems forcutting-edgeAI infrastructure. This role is pivotal in translating complex design concepts into robust simulations, ensuringoptimalperformance and reliability of high-density computing environments.You will leverage Siemens' powerful simulation tools and partner closely with future architects to drive innovation in thermal management.

You’llmake an impact by

  • Applying advanced CFD (Computational Fluid Dynamics) airflow and heat transfer modeling to design andoptimizecooling solutions for AI Factory infrastructure.
  • Developing and executing hydraulic modeling of liquid cooling loops, including pipes, pumps, valves, and Coolant Distribution Units (CDUs).
  • Conducting steady-state and transient simulations of chilled water and direct-to-chip cooling systems to predict and enhance performance.
  • Translating intricate design concepts into comprehensive thermal and cooling simulations and models, providing critical insights for system architects.
  • Collaborating effectively in fast-paced, multi-disciplinary teams spanning mechanical engineering, thermal design, and AI infrastructure development.
  • Utilizing Siemens' suite of simulation tools to model system performance and contribute to the dedicated full-time thermal simulation capabilities of the team.

Core Competencies

  • Thermal & Fluid Dynamics Expertise:Strong foundational knowledge and practical application of heat transfer, fluid dynamics, and thermodynamics principles.
  • Advanced Simulation:Proficiencyin CFD airflow and heat transfer modeling, as well as hydraulic modeling of liquid cooling systems.
  • Multi-Physics Tooling:Hands-on experience with simulation software such asStarCCM+,Amesim,Modelica, or equivalent CFD/multi-physics tools.
  • System Modeling:Ability to translate complex engineering designs intoaccurateand predictive thermal and cooling simulations.
  • Collaboration & Agility:Performs effectively within dynamic, multi-disciplinary teams, partnering closely with architects and other engineers.

Basic Qualifications

  • Bachelor’s degree in Mechanical Engineering, Thermal Engineering, ora relatedtechnical field.
  • 3+ years of experience in CFD airflow and heat transfer modeling.
  • Experience with hydraulic modeling of liquid cooling loops.
  • Demonstrated ability to perform steady-state and transient simulations of cooling systems.
  • Strong fundamentals in heat transfer, fluid dynamics, and thermodynamics.
  • Ability to work across disciplines in dynamic, fast-paced environments.
  • Ability to travel domestically up to 25%, for up to a week at a time (adjust travel as needed based on actual expectations).
  • Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.

Preferred Qualifications

  • Advanced degree (Master’sor PhD) in Mechanical Engineering, Thermal Engineering, or a related discipline.
  • Experience with Siemens simulation tools such asStarCCM+ and/orAmesim.
  • Experience in thermal management for high-density computing or data center environments.
  • Familiarity withModelicaor other multi-physics modeling languages.
  • Proven ability to partner with system architects to influence design decisions based on simulation results.

About Siemens

We are a global technology company focused on industry, infrastructure, transport, and healthcare.From more resource-efficient factories, resilient supply chains, and smarter buildings and grids,to sustainable transportation as well as advanced healthcare, we create technology withpurposeadding real valueforcustomers.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce

We value your unique identity and perspective. We are fully committed toprovidingequitableopportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

The pay range for this position is $102,459 - $210,773 annually with a target incentive of 10% annually. Actual offer may be lower or higher depending on selected professional.

Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. 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.

EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Application Deadline This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

Pay Transparency Siemens follows Pay Transparency laws.

Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

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