CFD Engineer
AI summary of the role
Join the founding NYC team of PhysicsX's Delivery group as a CFD Engineer, building CAE models and simulation pipelines that feed AI/ML surrogate development for customers in aerospace, energy, and other advanced industries.
What you’ll do
- Build CFD models from geometry clean-up and meshing through simulation and post-processing for simple to moderately complex cases.
- Adapt parametric CAD models (NX or CATIA) and contribute to simulation pipeline automation for design optimisation and DoE studies.
- Generate simulation datasets for training Machine/Deep Learning models and understand how data sampling affects model accuracy and cost.
- Run simulations on Flux cloud platform and on-premise HPC, applying smarter meshing and setup choices to improve performance.
What you’ll bring
- Foundation in fluid mechanics, heat transfer, and multiphase modelling.
- Working knowledge of at least one of Star-CCM+, OpenFOAM, or Fluent.
- Comfortable using built-in automation features for scalable workflows.
- Exposure to parametric CAD (NX or CATIA) and coding in Python/Java, or ability to pick up new tools quickly.
Technologies
Star-CCM+ · OpenFOAM · Fluent · NX · CATIA · Python · Java · HPC · Flux · CAE · CFD
About PhysicsX
AI-native simulation software stack that replaces slow numerical physics with deep-learning surrogates for design, manufacturing, and operations in aerospace, automotive, semiconductors, energy, and materials.
Series B · 100–200 people
Source and classification
Implementation & delivery · Evidence for this classification:
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
More from the 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 NYC 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 multi [... source excerpt omitted ...] arametric 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 [... source excerpt omitted ...] , 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 NYC, working 2-3 days per week in our central office. Our delivery teams drive innovation to turn AI models into
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