CFD Engineer Singapore

PhysicsX Ltd.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

PhysicsX Ltd. is building a Singapore team to deliver high‑fidelity CFD simulations and AI-enabled engineering solutions. You will work closely with data scientists and customers to solve practical problems on-site, using OpenFOAM, Star-CCM+, or Fluent, and CAD tools like NX or CATIA.

You’ll contribute to marine propulsion projects and multiscale workflows, developing automation and DoE studies while growing independent client-facing capabilities in a fast‑growing startup environment.

Qualifications

• Experience commercial CFD modelling and running simulations.
• Exposure to rotating machinery, marine hydrodynamics, or cavitation.
• Proficiency in Python or Java; ability to learn new tools quickly.
• Experience with CAD modelling and parametric workflows (NX or CATIA).
• Willingness to travel for customer engagements.

Responsibilities

• Define and solve engineering challenges with customers and data scientists.
• Deliver high-fidelity CFD simulations using OpenFOAM, Star-CCM+, or Fluent.
• Build models from geometry clean‑up to post‑processing for simple to moderate cases.
• Contribute to automation and design optimisation studies; support DoE.
• Assist customer engagements on-site and travel as needed.

Skills

Fluid mechanics

Heat transfer

Multiphase modelling

OpenFOAM

Star-CCM+

Fluent

Python

Java

CAD modelling

NX

CATIA

Automation

Data science

Tools

OpenFOAM

Star-CCM+

Fluent

NX

CATIA

Job description

Re-architecting Engineering for the Age of Intelligence

PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

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 experience 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:

• Contributing to marine propulsion projects with industry partners, such as propeller and hull-propeller interaction, supporting steady-state and transient (including cavitating) OpenFOAM simulations, with guidance from senior engineers.
• 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.
• You have working knowledge of OpenFOAM (Star-CCM+ or Fluent also considered), and are comfortable using built-in automation features to support scalable workflows. Exposure to rotating machinery, marine hydrodynamics, or cavitation and multiphase flow is a strong requirement.
• 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 employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.