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Augrade

Scan to BIM Engineer

San Francisco (Remote)$180k–$250kfulltimemidAdded today

About this role

Join an early-stage AI startup building scan-to-BIM technology that converts real-world point cloud data into structured 3D BIM models for construction. You'll work on the complete pipeline from point cloud capture through mesh generation and IFC output, collaborating with a technical team to transform how buildings are designed and planned.

What you'll do

  • Develop and optimize the point-cloud-to-BIM conversion pipeline including model creation and mesh generation
  • Process and interpret point cloud capture data, IFC files, and 3D modeling outputs
  • Apply computer vision techniques to improve 3D reconstruction accuracy and automation
  • Work with 3D modeling tools like Blender to refine outputs and validate results
  • Collaborate with construction and engineering teams to ensure real-world applicability
  • Travel to San Francisco quarterly for in-person team gatherings

What they're looking for

  • Point cloud processing and interpretation
  • 3D mesh generation and optimization
  • Computer vision
  • IFC (Industry Foundation Classes) file handling
  • 3D modeling tools (Blender or equivalent)
  • Construction domain knowledge
  • Python or C++ for 3D data processing
  • Experience with 3D reconstruction workflows

Benefits

  • Health, dental, and vision insurance
  • 401(k) company matching
  • Professional development and learning stipend
  • Commuter and travel benefits
  • Unlimited PTO
  • Relocation support and equity eligibility
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Augrade

Augrade builds AI-powered tools to automate construction design and planning, converting raw 3D scan data and 2D blueprints into code-compliant BIM (Building Information Modeling) models using computer vision and geometric algorithms. The company is hiring Founding AI Engineers and Forward Deployed Engineers to develop these foundational models and support the architecture and construction industry.

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Likely interview questions

  • Walk us through a detailed 3D project you've worked on—what were the key technical challenges with point cloud data or mesh generation?
  • How have you approached converting raw point cloud data into structured, usable 3D models in past roles?
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