Job Description

Senior Lead Engineer - CFD Analysis (Heat Exchangers / Digital Twins)

Location:

Bangalore

Job Type:

Full-Time

Experience:

8-10 Years

We are seeking a Senior Lead Engineer - CFD Analysis with strong expertise in thermal-fluid simulations and preferably heat exchanger product knowledge. This role is ideal for someone who excels in high-fidelity CFD modeling and can bridge physics-based simulations with data-driven approaches such as Digital Twins, AI, and Machine Learning. The successful candidate will play a key role in developing predictive models, accelerating design cycles, and enabling intelligent, connected products through hybrid simulation methodologies.

Key Responsibilities

Perform advanced

CFD analysis

for thermal-fluid systems and heat exchanger components Develop and validate

high-fidelity CFD models

for coils, ducts, and hydronic systems Apply

LES / DNS turbulence modeling

techniques for complex flow and heat transfer problems Post-process and analyze simulation results to validate hypotheses and guide design decisions Develop

reduced-order / surrogate models

from CFD data for real-time or near-real-time applications Build and calibrate

physics-based and hybrid digital twins

using lab or field data Integrate

AI / ML techniques

with CFD and sensor data to enhance predictive capability Automate CFD workflows and data pipelines using

Python

Work in

HPC / GPU environments

for large-scale simulations Collaborate with cross-functional teams to translate simulation insights into product improvements

Mandatory Skills

Deep expertise in

CFD

, with strong focus on

turbulence modeling (LES, DNS)

Hands-on experience with

STAR-CCM+, ANSYS Fluent, or OpenFOAM

Experience running and post-processing

high-fidelity simulations

for thermal-fluid systems Ability to create

reduced-order or surrogate models

from CFD simulations Hands-on experience developing

digital twins

(physics-based or hybrid with ML) Strong proficiency in

Python

for: Workflow automation Data pipelines ML / AI integration with CFD and sensor data Comfortable working in

HPC / GPU computing environments

Preferred Skills

Expertise in

conjugate heat transfer (CHT)

modeling for complex geometries Strong meshing experience using

ANSYS Fluent Meshing

or

HyperMesh

Hands-on experience with

heat exchanger analysis and design

Experience with

optimization frameworks

(OptiSlang, Tosca, or similar)

Qualifications

Bachelor's / Master's / PhD in

Mechanical, Thermal, or Automotive Engineering

8-10 years of professional experience in

CFD analysis

Strong command of

meshing strategies and turbulence models

Working knowledge of

Reduced Order Modeling (ROM)

Experience applying

Digital Twins, AI, and ML

in CFD applications Excellent communication, collaboration, and problem-solving skills Proactive mindset with strong ownership of technical outcomes
Job Type: Full-time

Work Location: In person