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About the Role
PhysicsX is seeking a CFD Engineer (Delivery) to join their deep-tech company. This role involves creating practical, AI-integrated simulation solutions for customers across various industries, focusing on fluid mechanics, heat transfer, and multiphase modeling. You will work directly with customers, often on-site, to build and integrate CAE models into AI tools, contributing to hardware innovation.
Responsibilities
- Building models from geometry clean-up and meshing through to simulating and post-processing for simple to moderately complex cases.
- Adapting and using parametric CAD models (NX or CATIA).
- Contributing to simulation pipeline automation for design optimisation and DoE studies.
- Supporting customer-facing work by helping prepare and present results clearly.
- Working at the intersection of CAE and Data Science to help generate simulation datasets for training Machine/Deep Learning models.
- Developing understanding of how data sampling choices affect model accuracy and cost.
- Using Flux (our cloud platform) and on-premise HPC resources to run simulations.
- Learning how to apply smarter meshing and setup choices to improve performance.
- Learning and applying engineering best practices.
- 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.
- Travelling occasionally (Europe, Asia, Oceania) to support customer engagements alongside senior colleagues.
Requirements
- 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
- Fluid Mechanics
- Heat Transfer
- Multiphase Modelling
- Star-CCM+
- OpenFOAM
- Fluent
- Parametric CAD Modelling
- NX
- CATIA
- Python
- Java
- CAE
- Data Science
- Machine Learning
- Deep Learning
- HPC
Location
- NYC
Work Type
- Hybrid
- On-site (2-3 days per week)
Experience Level
- Entry-level to Mid-level (implied by guidance from senior colleagues and growth opportunities)
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 by enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle.
- 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.
- 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.