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PhysicsX is a deep-tech company building an AI-driven simulation software stack for engineering and manufacturing across advanced industries including Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The company accelerates hardware innovation by enabling high-fidelity, multi-physics simulation through AI inference across the engineering lifecycle.
As a CFD Engineer (Delivery), you will work at the intersection of computational fluid dynamics and machine learning to help customers solve complex engineering challenges. You'll collaborate with Data Scientists, ML Engineers, and customers to define and deliver high-fidelity simulations that feed into AI-powered tools.
Key responsibilities include: building CFD models from geometry cleanup and meshing through simulation and post-processing for simple to moderately complex cases; adapting parametric CAD models (NX or CATIA) and contributing to simulation pipeline automation for design optimization and design-of-experiments studies; supporting customer-facing work by preparing and presenting results; generating simulation datasets for training ML/DL models while understanding how data sampling affects accuracy and cost; using the Flux cloud platform and on-premise HPC resources to run simulations; learning and applying engineering best practices; and occasionally traveling to support customer engagements in Europe, Asia, and Oceania.
You bring a foundation in fluid mechanics, heat transfer, and multiphase modeling with working knowledge of at least one CFD tool (Star-CCM+, OpenFOAM, or Fluent). Experience with parametric CAD modeling and coding in Python/Java is advantageous. You're a problem solver who can grasp advanced engineering concepts, work directly with customers, and learn new tools quickly. The role offers growth opportunities as an Individual Contributor or Team Lead as you build independence and take ownership of more complex projects.
Based in NYC with 2-3 days per week in the central office.
