CFD Engineer (Computational Fluid Dynamics)

Job Title: CFD Engineer

Designation: CFD Engineer

Department: Research & Development -KEPL

Employment Type: Full-time

Location: VKI, Jaipur.

Experience : Min 2 yrs to 5 yrs

Salary: 12 LPA to 15 LPA

Job Overview:

We are seeking a skilled and motivated CFD Engineer to join our dynamic engineering team. The ideal candidate will apply advanced computational fluid dynamics techniques to simulate and analyse fluid flow, heat transfer, and related phenomena, driving innovation and optimization in our product development processes.

Key Responsibilities:

• Develop and execute high-fidelity CFD simulations to model fluid dynamics, heat transfer, and mass transfer in complex systems.
• Create, validate, and optimize CFD models to ensure accuracy and reliability, correlating simulation results with experimental or real-world data.
• Collaborate with cross-functional teams to integrate CFD insights into the design process, proposing modifications to enhance performance and efficiency.
• Prepare detailed technical reports, presentations, and documentation to communicate findings and recommendations to stakeholders.
• Stay abreast of the latest advancements in CFD methodologies, tools, and industry trends, applying this knowledge to improve simulation practices.

Requirements:

• Bachelor's or master's degree in mechanical engineering, Aerospace Engineering, Chemical Engineering, or a related field.
• Minimum of 2–5 years of hands-on experience in CFD simulation and analysis, preferably in automotive,aerospace, energy, or HVAC sectors.
• Expertise in CFD software, including Open FOAM and CONVERGE, is mandatory. Familiarity with other platforms such as ANSYS Fluent, CFX, Siemens STAR-CCM+, or similar is a plus.
• Proficiency in scripting languages like Python, MATLAB, or C++ for automation, post-processing, and data analysis.
• Strong understanding of fluid mechanics, thermodynamics, turbulence modeling, and multiphase flow dynamics.
• Experience in applying CFD to specific industries like automotive propulsion systems, HVAC design, or renewable energy systems.
• Familiarity with parallel computing environments and optimization techniques for large-scale simulations.
• Knowledge of integrating machine learning techniques to enhance CFD workflows and predictive capabilities.
• Strong problem-solving abilities with attention to detail.
• Excellent written and verbal communication skills for reporting and collaboration.
• Ability to work effectively within multidisciplinary teams.
• Efficient in managing multiple projects and meeting deadlines.
• Willingness to learn and apply new tools and methodologies.
• Basic programming (Matlab, Python etc).

Working Conditions:

Full-time position with standard working hours i.e. 9 AM - 6 PM, Monday to Saturday.

What we offer:

• Familiarity with parallel computing environments and optimization techniques for large-scale simulations.
• Knowledge of integrating machine learning techniques to enhance CFD workflows and predictive capabilities.
• Strong problem-solving abilities with attention to detail.
• Excellent written and verbal communication skills for reporting and collaboration.
• Ability to work effectively within multidisciplinary teams.
• Efficient in managing multiple projects and meeting deadlines.
• Willingness to learn and apply new tools and methodologies.
• Basic programming (Matlab, Python etc).
• Competitive salary & benefits.
• Professional growth opportunities.
• Inclusive & collaborative culture.
• Sick, casual and privilege leaves.

Job Types: Full-time, Permanent

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Benefits:

• Cell phone reimbursement
• Internet reimbursement
• Paid sick time
• Provident Fund

Application Question(s):

• What is your Current CTC?
• What is your Expecting CTC?
• Do you carry hands-on experience in CFD simulation and analysis, preferably in automotive,aerospace, energy, or HVAC sectors?

Education:

• Bachelor's (Required)

Language:

• English (Required)

Location:

• Jaipur, Rajasthan (Required)

Work Location: In person