Augrade

Founding AI Engineer, Scan-to-BIM

San Francisco

Sponsorship not specifiedDetected 96 days ago

PythonC++AlgorithmsComputer VisionSensors5G/LTECollaborationRevitBIM

About the role

You're solving problems that benchmarks don't cover yet.
Strong Python and/or C++; you can architect and ship a pipeline end-to-end, not just contribute components.

For phase 1, we're training foundational AI models that create building code-compliant BIM models, cost analysis & documentation from 2D building blueprints.
We're targeting $100B+ opportunity in construction's design, estimation, and planning software-ripe for disruption by AI-first platforms.
If you're interested in joining an early stage AI startup building foundational models, geometric and physics engines from scratch to transform how the world designs and builds infrastructure, with real autonomy and the resources to solve hard problems, apply or reach out to us today.
As a Founding AI Engineer for Scan-to-BIM on our core AI/3D team, you will own the problem end-to-end: from raw 3D data to semantically rich building models.
End-to-end pipeline ownership. You design and ship the full scan-to-BIM stack - ingestion, registration, semantic segmentation, geometric reasoning, and parametric model generation. You set the accuracy bar and you own it when it breaks.
Build and improve algorithms for classifying, segmenting, and reconstructing building elements - walls, floors, ceilings, MEP - from real-world, noisy, incomplete scan data.
Translate model outputs into IFC-compliant, Revit-compatible structures that AEC teams can actually build from.
Own the bridge layer between AI predictions and production BIM - understand both the geometry and the downstream contractual requirements.

You have debugged geometry pipelines, wrestled with coordinate systems and registration drift, and shipped something that ran on data you did not control.
Working knowledge of Open3D, PCL, or equivalent 3D processing frameworks.
Ability to move fast in ambiguous problem spaces - first principles thinking, not playbook execution.
you can architect and ship a pipeline end-to-end, not just contribute components.

Experience with semantic or instance segmentation of 3D data (e.g., walls, floors, ceilings)
Experience with procedural or parametric model generation
Prior work bridging AI outputs with CAD/BIM tools
ESOPs (commensurate with impact)
Visa sponsorship (for select candidates)
More as the team grows

Generous PTO / sick leave
Hands-on experience with 3D computer vision, LiDAR/point cloud processing, or large-scale geometric reconstruction - in production, not just research.

We are moving beyond manual & tedious workflows towards fully automated building generation from raw 2D or spatial data using AI.
We are empowering people to go from concepts to construction within hours, enhancing collaboration in the world of atoms & pushing the boundaries of what's possible, for humanity over the next few decades.
We are a small team of 20+ and looking for people passionate about 3D generation/reconstruction.

This listing is sourced directly from Augrade's careers page and normalized into a canonical job model.