This Physics AI startup is combining high-fidelity simulation with machine learning to compress engineering design cycles from weeks to seconds. Backed by top-tier VCs and trusted by leading names in aerospace, automotive, and defense, they've built a platform that sits at the intersection of physical simulation and the next generation of AI. The technical foundation is serious: think surrogate models trained on thousands of high-fidelity simulations, physics-informed neural networks, and deep partnerships with the biggest names in GPU computing.
We're hiring FDEs across four physics disciplines: CFD, structural mechanics, thermal analysis, and electromagnetics. If your background lives in any of these domains, keep reading.
This isn't a sales engineering role. It's a deeply technical position for someone who has lived inside CAE workflows and wants to bring AI into them at scale.
You'll work directly with engineering teams at some of the most technically demanding companies in the world, using your domain background to diagnose simulation problems and design practical solutions. You'll script in Python to automate workflows and customize the platform, apply Physics AI models in real engineering contexts including surrogate modeling and PINNs, and translate what you're seeing in the field into product feedback that shapes the roadmap. Travel to customer sites when needed. Direct customer-facing experience isn't required, strong technical communication and internal stakeholder management is enough.
What We're Looking For:
Due to the nature of the clients, candidates must be US citizens or Green Card holders.
Base salary will be competitive, plus meaningful equity and full benefits. Relocation support available.
If simulation and Physics AI is your world, let's talk.
No up-to-date resume required.