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About the Role
PhysicsX is seeking a CFD Engineer (Delivery) to join their founding Singapore team. This role involves creating practical, AI-integrated CAE models for customers across various industries, with opportunities for on-site customer engagement and travel. You will work at the intersection of CAE and Data Science, contributing to simulation datasets for machine learning models and improving simulation workflows.
Responsibilities
- Build models from geometry clean-up and meshing through to simulating and post-processing for simple to moderately complex cases.
- Adapt and use parametric CAD models (NX or CATIA).
- Contribute to simulation pipeline automation for design optimisation and DoE studies.
- Support customer-facing work by helping prepare and present results clearly.
- Generate simulation datasets for training Machine/Deep Learning models.
- Develop understanding of how data sampling choices affect model accuracy and cost.
- Use Flux (our cloud platform) and on-premise HPC resources to run simulations.
- Apply smarter meshing and setup choices to improve performance.
- Learn and apply engineering best practices.
- Adapt CFD model setups and outputs to support Deep Learning surrogate development.
- Contribute to a culture of collaboration and shared learning within the Simulation Engineering guild.
- Travel occasionally (Europe, Asia, Oceania) to support customer engagements.
- Take ownership of more complex projects and lead the direction of future solutions.
Requirements
- Growing foundation in fluid mechanics, heat transfer, and multiphase modelling.
- Ability to apply core engineering principles to real-world problems under guidance.
- Working knowledge of at least one of Star-CCM+, OpenFOAM, or Fluent.
- Comfortable using built-in automation features to support scalable workflows.
- Exposure to parametric CAD modelling (NX or CATIA) is an advantage.
- Exposure to coding in Python/Java is an advantage.
- Demonstrated ability to pick up new tools and languages quickly is an advantage.
Skills
- CFD modelling
- Geometry clean-up
- Meshing
- Simulation
- Post-processing
- Parametric CAD modelling
- Python
- Java
- CAE
- Data Science
- Machine Learning
- Deep Learning
- Cloud platforms
- HPC resources
- Automation
Location
- Singapore
- London
- Europe
- Asia
- Oceania
Work Type
- Hybrid
- On-site
Experience Level
- Founding stage
- Individual Contributor (IC)
- Team Lead (TL)
Education Level
- University degrees in science and mathematics (sponsored for women from disadvantaged backgrounds)
Benefits
- Equity options
- 10% employer pension contribution
- Free office lunches
- Enhanced parental leave (3 months full pay paternity, 6 months full pay maternity)
- YellowNest nursery scheme
- 25 days of Annual Leave (+ Public Holidays)
- Private medical insurance (100% employee cover)
- Wellhub Subscription
- Eye tests
- Personal development support
- Employee Assistance Programme (EAP)
- Bike2Work scheme
- Season ticket loan
- Octopus EV salary sacrifice
About the Company
- 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.
- PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations.
- Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Equal Opportunity
- 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.
- 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.