This AI startup is transforming how engineers design and simulate physical systems by combining high-fidelity CAE with machine learning. Their platform accelerates CFD and multiphysics simulations, making it possible for aerospace, automotive, and energy companies to run design studies at scale and bring AI into engineering workflows.
The role:
They are hiring a Forward Deployed Engineer to work directly with customers on high-impact simulation projects. You’ll integrate advanced CFD and AI tools into engineering workflows, script in Python to adapt solutions, and help customers unlock new ways to design faster and smarter. This is a technical, customer-facing role for someone who thrives at the intersection of simulation, AI, and hands-on engineering.
What You’ll Do
• Lead integrations of the Physics-AI platform with engineering teams in aerospace, automotive, and energy.
• Use your CAE and CFD knowledge to understand customer problems and translate them into effective solutions.
• Write and adapt Python scripts to customize workflows, automate tasks, and connect tools.
• Apply and support machine learning models in real engineering contexts, from surrogate modeling to physics-informed AI.
• Work closely with customers onsite and remotely, ensuring successful adoption and providing technical guidance.
• Feed customer insights back to product and research teams to shape the next generation of the platform.
What They’re Looking For
• Strong background in CAE, ideally with CFD or multiphysics simulation experience.
• Proficiency in Python for scripting, workflow automation, and light software engineering.
• Exposure to ML models and interest in Physics-AI applied to engineering.
• Excellent communication skills and comfort in customer-facing roles.
• Self-starter who thrives in fast-moving environments and enjoys solving problems hands-on.
$180,000 to $240,000 base, plus meaningful equity and full benefits. Relocation support available.
No up-to-date resume required.
If you’re excited to help engineers bring AI into real-world design, let’s talk.
