Forward Deployed Engineer - AI/ML - Series B $200M+ - San Mateo, CA

Saragossa; San Mateo (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Travel opportunities

Job summary

Saragossa is a Physics AI startup that accelerates design cycles by combining high-fidelity simulation with machine learning. You’ll work with surrogate models, PINNs, and neural operators to apply models in real engineering contexts for demanding customers.

You’ll collaborate with engineering teams, script in Python, and use PyTorch or JAX to drive practical solutions that improve simulations. Travel to client sites will be needed, and you’ll own the customer relationship through deployment and

Qualifications

• Experience applying surrogate models, PINNs, or neural operators to real-world engineering problems.
• Ability to script Python to automate workflows and integrate models in production contexts.
• Strong communication skills to translate technical findings to customers and product teams.

Responsibilities

• Engage with customer engineering teams to understand design challenges.
• Demonstrate and validate physics-based models in client environments.
• Collaborate with engineering to translate field feedback into roadmap inputs.
• Travel to customer sites as required to support deployments and renewals.

Skills

Physics AI workflows

Python scripting

Technical communication

Customer engagement

Education

Advanced degree in physics/engineering or ML

Tools

PyTorch

JAX

Job description

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.