Forward Deployed Engineer - AI/ML

About the role

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.

This isn't a sales role, but it does require real customer fluency. It's a deeply technical position for someone who has lived inside Physics AI workflows, building surrogate models, PINNs, or neural operators for physical systems, and wants to bring that work directly into customer engineering teams, while also being comfortable owning the relationship from first technical conversation through to renewal.

You'll work directly with engineering teams at some of the most technically demanding companies in the world, using your Physics AI background to diagnose where a model can replace a slow simulation loop and design practical solutions around it. You'll script in Python to automate workflows and customize the platform, work hands-on with PyTorch or JAX to apply models in real engineering contexts, and translate what you're seeing in the field into product feedback that shapes the roadmap. You'll present your work to skeptical senior engineers, build trust in what the model produces, and carry that relationship through implementation, adoption, and expansion.

Travel to customer sites when needed.

Due to the nature of the client, candidates must be US citizens or Green Card holders.

If Physics AI and applied ML for engineering is your world, let's talk.

No up-to-date resume required.