CFD Engineer

PhysicsX; Singapore; On-site; SGD 60,000 - 110,000; Full time

Job summary

PhysicsX is building its Singapore presence and seeks a CFD Engineer (Delivery) to work directly with customers on-site, building CAE models that inform AI-driven engineering decisions.

You will apply fluid mechanics, heat transfer and multiphase modelling to develop CFD simulations for moderately complex cases, with guidance from senior colleagues. Occasional international travel is expected.

Qualifications

• Growing foundation in fluid mechanics, heat transfer and multiphase modelling; apply core engineering principles to real-world problems.
• 1–3 years of industry experience post-Masters or PhD in a commercial environment.
• Experience with CFD model setups and interpreting results; exposure to Python/Java is advantageous.

Responsibilities

• Build models from geometry clean-up and meshing through to simulating and post-processing for simple to moderately complex cases, with guidance from senior engineers.
• Adapt and use parametric CAD models (NX or CATIA) and contribute to simulation pipeline automation for design optimisation and DoE studies.
• Support customer-facing work by preparing and presenting results under senior guidance, aiming for independent delivery.
• Work at the intersection of CAE and Data Science to generate simulation datasets for ML/Deep Learning models and understand data sampling effects on accuracy and cost.
• Use Flux (cloud) and on-prem HPC resources to run simulations, applying smarter meshing and setup choices to improve performance.
• Learn and apply engineering best practices, adapting CFD setups for Deep Learning surrogate development.
• Contribute to a culture of collaboration and knowledge sharing within the Simulation Engineering guild; help onboard newer engineers.
• Occasional travel (Europe, Asia, Oceania) to support customer engagements.

Skills

Fluid mechanics

Heat transfer

Multiphase modelling

Python

Java

Education

Masters or PhD in a relevant field

Tools

Star-CCM+

OpenFOAM

Fluent

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 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 a growing foundation in fluid mechanics, heat transfer, and multiphase modelling, with the ability to apply core engineering principles to real-world problems under guidance from more senior colleagues. You have working knowledge of at least one of Star-CCM+, OpenFOAM, or Fluent, and are comfortable using built-in automation features to support scalable workflows. Exposure to parametric CAD modelling (NX or CATIA) and coding in Python/Java - or a demonstrated ability to pick up new tools and languages quickly - is an advantage.

With 1-3 years of industry experience (post-Masters or PhD) in a commercial, non-research environment, you're building your independence. You're comfortable setting up CFD simulations for moderately complex cases with some support, developing your ability to interpret results, and building the engineering judgement that comes from hands‑on experience.

This Role

In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges.

You'll contribute to delivering high-fidelity simulations by:

• Building models from geometry clean-up and meshing through to simulating and post-processing, for simple to moderately complex cases, with guidance from senior engineers on the more difficult aspects.
• Adapting and using parametric CAD models (NX or CATIA), and beginning to contribute to simulation pipeline automation for design optimisation and DoE studies.
• Supporting customer-facing work by helping prepare and present results clearly, under the direction of more senior team members, while building toward doing this independently.
• Working at the intersection of CAE and Data Science to help generate simulation datasets for training Machine/Deep Learning models, and developing your understanding of how data sampling choices affect model accuracy and cost.
• Using Flux (our cloud platform) and on-premise HPC resources to run simulations, and learning how to apply smarter meshing and setup choices to improve performance.
• Learning and applying engineering best practices, and helping adapt CFD model setups and outputs to support Deep Learning surrogate development.
• Contributing to a culture of collaboration and shared learning within the Simulation Engineering guild - for example, sharing what you learn, flagging gaps in documentation, or (at L2) starting to support onboarding of newer engineers.
• Travelling occasionally (Europe, Asia, Oceania) to support customer engagements alongside senior colleagues, with the expectation that this will increase as you build independence.

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.