AI Engineer: Physics

About Us

We're building a next-generation AI enabled assistant for hardware designers — one that doesn't just understand design, but helps improve it. Our system blends machine learning, 3D geometry, physics simulation, and constraint reasoning to guide engineers through meaningful design exploration. Our solution includes a foundation model for geometry and physics. Our first models are shipped and we are quickly improving them and expanding our capabilities!

Role Overview

We’re looking for an AI engineer or applied researcher who can help us build a foundation model for physics. In this role, you’ll design, build, train and ship deep learning models that understand and accurately predict physical phenomena.

What We Look For

• A PhD in theoretical, experimental, or computational physics, mechanical engineering, applied math or machine learning
• A track record of high impact publications in physics, engineering, and/or machine learning
• 3+ Years experience applying deep learning to problems in physics and/or mechanical engineering
• A solid understanding of high performance computing as it relates to computational physics in large 3D / computer vision applications
• Strong software skills beyond prototyping (e.g., Python, PyTorch, JAX, GIT)
• The ability to break down challenging problems at the confluence of physics and AI, solve them quickly, and support the solutions in production software
• An entrepreneurial spirit

Why This Role Is Different

• You’ll have access to the best hardware to run large scale experiments on the world’s most advanced models
• You’ll have a direct impact on ML/AI solutions that are central to our transformative technology
• You’ll strike a balance between doing cutting edge research and shipping your findings to a quickly improving product
• You’ll be part of a team of cross-functional experts in geometry, physics, materials science and computer science working on the most pressing problems in AI as they relate to physical understanding