Principal CFD Engineer

PhysicsX; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

PhysicsX is building its Singapore presence from the ground up, seeking a Principal CFD Engineer (Delivery) to lead high-fidelity simulations and work directly with customers to define engineering challenges and deliver practical CAE/AI solutions.

You will combine deep fluid mechanics expertise with automation of CFD workflows and multi-physics modelling across industries, traveling to client sites up to 2–3 weeks per quarter and mentoring junior engineers as the team grows.

Qualifications

• 5–7 years of industry experience in a commercial environment.
• Deep expertise in fluid mechanics, heat transfer and multiphase modelling.
• Proficiency with Star-CCM+, OpenFOAM or Fluent; scripting in Python/Java.
• Experience with parametric CAD modelling (NX or CATIA) and automation of CAE workflows.

Responsibilities

• Independently build complex multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
• Build robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation, for performing advanced design optimization and DoE studies.
• Partner with customers to address their most complex engineering challenges through CAE & AI solutions; present results clearly and recommend actionable next steps.
• Generate high-quality simulation datasets for training ML/DL models; apply data sampling to capture design space efficiently and reduce cost.
• Accelerate high-fidelity modelling using Flux and on-premise HPC resources to achieve performance gains.
• Continuously improve engineering practices and adapt CFD setups for DL surrogates.
• Mentor junior engineers and contribute to a culture of collaboration and growth.
• Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers.

Skills

Fluid mechanics

Heat transfer

Multiphase modelling

CFD simulations

Python

Java

Automation of CFD workflows

Education

Masters or PhD in Mechanical Engineering or related field

Tools

Star-CCM+

OpenFOAM

Fluent

NX

CATIA

Python

Java

Job description

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Who We’re Looking For

As a Principal CFD Engineer (Delivery), you are a problem solver and a builder, who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (often directly on-site) to build CAE models that are integrated into AI-tools that are both useful and used.

We're building our Singapore presence from the ground up. This is a rare opportunity to join at the founding stage of a regional team, with the autonomy to help define what this team becomes.

You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent and adept at automating these tools to create scalable optimisation workflows that drive impactful results. Experience in parametric CAD modelling (NX or CATIA) and coding in Python/Java, (or the ability to quickly learn programming languages), is an advantage.

With 5-7 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re confident setting up CFD simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement.

This Role

In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving.

You’ll play a crucial role in delivering high-fidelity simulations by:

• Independently building complex multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
• Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation, for executing advanced design optimization and DoE studies.
• Partner with customers to address their most complex engineering challenges through advanced CAE & AI solutions; present results clearly, recommend actionable next steps, and balance accuracy with efficiency under tight deadlines.
• Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy.
• Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains.
• Continuously improving engineering best practices, adapting CFD model setups and outputs to support the development of Deep Learning surrogates.
• Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success.
• Traveling globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work side-by-side with customers in building solutions on-site.

As the role evolves, there are exciting opportunities for growth as an Individual Contributor (IC) or a Team Lead (TL), especially if you’re driven to take ownership of more complex projects and lead the direction of future solutions.

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.