CFD Engineer - AI-Driven CAE & Marine Hydrodynamics

PhysicsX

Singapore

On-site

SGD 70,000 - 110,000

Full time

43 hours ago
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Job summary

PhysicsX is seeking a CFD Engineer (Delivery) to join our Singapore team at the founding stage. You will build CAE models integrated into AI-enabled workflows and work directly with customers on-site to solve engineering challenges across multiple industries.

You'll contribute to high-fidelity simulations using OpenFOAM/OpenFOAM-family tools, develop automation for scalable workflows, and collaborate with data science and ML engineers to generate catalytic simulation datasets.

Qualifications

  • Growing foundation in fluid mechanics, heat transfer and multiphase modelling.
  • Working knowledge of CAE tools such as OpenFOAM, Star-CCM+ or Fluent.
  • Exposure to parametric CAD modelling (NX or CATIA).
  • Coding in Python/Java - or ability to pick up new tools quickly - is an advantage.
  • Experience in a commercial, non-research environment is preferred.
  • Ability to set up CFD simulations for moderately complex cases with guidance.

Responsibilities

  • Define and solve engineering challenges with Data Scientists and ML Engineers.
  • Build and run high-fidelity simulations (OpenFOAM/Star-CCM+/Fluent); interpret results.
  • Develop and maintain simulation pipelines; contribute to automation for efficiency.
  • Prepare results for customer-facing discussions and collaborate with senior staff.

Skills

Fluid mechanics
Heat transfer
Multiphase modelling
OpenFOAM
Star-CCM+
Fluent
NX/CATIA CAD
Python/Java

Tools

OpenFOAM
Star-CCM+
Fluent
NX
CATIA
Python
Java

Job description

PhysicsX is seeking a CFD Engineer (Delivery) to join our Singapore team at the founding stage. You will build CAE models integrated into AI-enabled workflows and work directly with customers on-site to solve engineering challenges across multiple industries.

You'll contribute to high-fidelity simulations using OpenFOAM/OpenFOAM-family tools, develop automation for scalable workflows, and collaborate with data science and ML engineers to generate catalytic simulation datasets.

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