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.
AI Researcher at Hedral Inc.
Hedral Inc. is seeking an AI Researcher to build the future of spatial design. If you have deep expertise in Gaussian splatting, neural geometry, or physics simulation and want to ship product-grade research code alongside a team from NVIDIA, DeepMind, and MIT, this is the role for you. Help redefine the built environment through generative spatial AI.
About this role
Role overview
About the company
Hedral Inc. is a technology-enabled architectural, engineering, and construction (AEC) design firm that uses artificial intelligence and automation to transform building design and structural engineering workflows.[2][3][5][7] The company focuses on automating the steps required to produce structural engineering outputs such as stamped drawings and 3D building models, enabling real estate developers and other clients to obtain designs significantly faster and at lower cost compared to traditional firms.[3][5] By supercharging domain experts with cutting-edge technology, Hedral aims to establish a new standard for building architecture and construction design, helping clients arrive at optimal outcomes within the constraints of physics, function, aesthetics, and environmental impact.[2][3][5][7] Its solutions target faster project delivery, reduced environmental footprint, and increased efficiency across the building design and engineering process.[3][5][7]
What you'll do
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.
Who you are
Who this is a fit for
- 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.
Why this role
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.
Jack & Jill
How Jack & Jill work together
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