AI Researcher at Hedral Inc.

Job Title AI Researcher Salary Not Disclosed Company Description Hedral Inc. is a Series A building-design startup developing cutting-edge AI for architectural and spatial design. The company is redefining how physical spaces are conceptualized by integrating world models and geometric reasoning into the core design process, moving beyond traditional architectural tools into the future of generative spatial AI. Job Description As an AI Researcher at Hedral Inc., you will solve the core challenges of 3D geometry and world models for architectural design. You will bridge the gap between pure research and product‑grade engineering, developing neural geometry and spatial reasoning systems that empower architects. This is a role for researchers who ship high‑quality code. Location New York, Austin, or Dallas, USA Why this role is remarkable Work at the intersection of AI and architecture at Hedral Inc., moving beyond 2D LLMs into the complex world of 3D spatial reasoning and physics‑informed simulation. Join a well‑funded Series A team where your research directly translates into product features, utilizing advanced techniques like Gaussian splatting and Fourier neural operators. Collaborate with a high‑caliber team with backgrounds from top‑tier tech companies like Meta, NVIDIA, and DeepMind, and world‑class design schools like MIT and ETH Zurich. What You Will Do Develop and implement novel 3D generation and neural geometry models to automate complex architectural and spatial design workflows. Build robust world models and spatial reasoning systems that integrate physics simulations and computational geometry for real‑world building constraints. Ship production‑grade research code using CUDA and USD/Omniverse, ensuring that theoretical breakthroughs provide tangible value to the AEC industry. The ideal candidate Possesses deep expertise in one or more areas: neural geometry, 3D scene representation (Gaussian splatting), world models, or Fourier neural operators. Demonstrates a strong spatial instinct with a background in Computational Design, Architecture‑to‑ML crossovers, or pure ML applied to graphics and simulation. Has a track record of shipping product‑grade code, with experience in tools like Revit API or NVIDIA Omniverse, and a degree from a top‑tier institution like MIT or CMU. #J-18808-Ljbffr Jack & Jill