CFD Engineer

PhysicsX; Greater London; Hybride; GBP 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Equity options

Pension 10% employer

Private medical insurance

Private mental-wellbeing benefits

Annual leave 25 days

Résumé du poste

PhysicsX is seeking a CFD Engineer (Delivery) based in London to build CAE models integrated with AI-driven tools. You will work directly with customers on-site, developing high-fidelity simulations and contributing to automation and DoE studies.

You will collaborate with data scientists and engineers to push innovations at the intersection of CAE and data science, advancing simulation pipelines while exploring growth into IC or Team Lead roles.

Qualifications

• Growing foundation in fluid mechanics, heat transfer and multiphase modelling; applying core engineering principles to real-world problems under guidance.
• Working knowledge of Star-CCM+, OpenFOAM, or Fluent; comfortable using automation features to support scalable workflows.
• Exposure to parametric CAD modelling (NX or CATIA) and coding in Python/Java or ability to learn quickly.

Responsabilités

• Collaborate with Data Scientists and Machine Learning Engineers to define and solve engineering challenges.
• Deliver high-fidelity simulations from geometry clean-up, meshing, to post-processing for simple to moderately complex cases with senior guidance.
• Contribute to simulation pipeline automation for design optimisation and DoE studies; support customer-facing work and present results clearly.
• Help generate simulation datasets for training ML models and learn how data sampling affects model accuracy and cost.
• Use Flux cloud platform and HPC resources to run simulations, applying smarter meshing and setup choices to improve performance.
• Learn engineering best practices and adapt CFD models for Deep Learning surrogate development.
• Travel occasionally (Europe, Asia, Oceania) to support customer engagements; potential growth to IC or TL with increasing independence.

Connaissances

CFD

Fluid mechanics

Heat transfer

Multiphase modelling

Python

Java

Outils

Star-CCM+

OpenFOAM

Fluent

NX

CATIA

Description du poste

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.

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.

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.

Please note, this role is based in London, working 2-3 days per week in our central office.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real‑world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high‑caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work‑from‑home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

Equity options - share meaningfully in the company you’re helping to build.

10% employer pension contribution - because investing in future matters.

Free office lunches - to keep you energised and focused.

Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

YellowNest nursery scheme - to help working parents manage childcare costs.

25 days of Annual Leave (+ Public Holidays)

Private medical insurance - 100% employee cover, giving you complete peace of mind.

Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

Eye tests - because good work depends on good health.

Personal development - dedicated support for learning, development, and leveling up over time.

Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

Bike2Work scheme

Season ticket loan - to make getting to work easier and greener.

Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

Watch this space, we’re continuing to build this as we grow…

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.