We are seeking a highly skilled and experienced CFD (Computational Fluid Dynamics) Engineer to join our team. The ideal candidate must have hands-on experience working on relevant projects involving complex simulations such as mixing, combustion, supersonic flows, fluid-solid interaction, and reaction chemistry. Proficiency with leading CFD tools like ANSYS Fluent, CFX, Siemens STAR-CCM+, and Chemkin is essential.
This role requires a strong understanding of advanced fluid dynamics, reaction modeling, and simulation techniques to solve challenging engineering problems and deliver innovative solutions.
Responsibilities:
Perform high-fidelity CFD simulations for mixing, combustion, supersonic flows, and fluid-solid interactions.
Develop, validate, and optimize models to simulate complex physical phenomena and reaction chemistry using Chemkin or similar tools.
Use CFD tools like ANSYS Fluent, CFX, Siemens STAR-CCM+, or equivalent software for simulations.
Analyze simulation results, interpret key findings, and provide actionable insights for design improvements.
Conduct sensitivity analyses and parametric studies to assess system behavior under varying conditions.
Collaborate with multidisciplinary teams to ensure accurate implementation of CFD results into the design and development process.
Document methodologies, prepare technical reports, and present findings to internal and external stakeholders.
Stay abreast of the latest developments in CFD technologies, methods, and applications to improve workflows.
Required Skills and Qualifications
Bachelor s/Master s/PhD in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or a related field.
Minimum 2 years of experience working on relevant projects involving CFD simulations.
Proficiency in CFD tools like ANSYS Fluent, CFX, Siemens STAR-CCM+, or similar software.
Solid understanding of fluid mechanics, heat transfer, thermodynamics, and chemical reaction modeling.
Hands-on experience with Chemkin or equivalent tools for reaction chemistry simulations.
Strong programming/scripting skills (Python, MATLAB, or C++) for pre/post-processing and workflow automation.
Demonstrated ability to validate CFD models against experimental or benchmark data.
Excellent analytical and problem-solving skills with the ability to work independently and in teams.
Strong communication skills to effectively present complex technical information.
Preferred Skills and Experience
Experience with multiphase flow simulations and turbulence modeling.
Familiarity with high-speed aerodynamics and supersonic flow behavior.
Knowledge of machine learning applications in CFD.
Practical experience in experimental validation and data acquisition.