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Field AI

BIM/VDC Engineer

Irvine, CAfull timemidAdded 1 month ago

About this role

FieldAI is seeking a BIM/VDC Engineer to ensure quality and accuracy of BIM models created from point cloud data while developing automated processes to streamline workflows. This role combines technical BIM expertise with process improvement, working across reality capture, model validation, and construction documentation.

What you'll do

  • Review and validate BIM models against point cloud data, construction drawings, and site documentation for accuracy and completeness
  • Perform quality control checks on model geometry, classification, naming conventions, and level of detail
  • Identify and document modeling issues including missing, misaligned, or incorrectly classified elements
  • Prepare detailed QA/QC reports with actionable feedback for modeling teams
  • Evaluate and support point cloud workflows including scan registration, alignment, and data gap assessment
  • Develop and implement automation scripts and rule-based validation checks to improve BIM processes

What they're looking for

  • Revit and BIM modeling
  • Point cloud processing and validation
  • Navisworks, Recap, or similar BIM coordination tools
  • Construction drawing interpretation and site documentation
  • BIM standards, LOD requirements, and naming conventions
  • Python, Dynamo, or Revit API scripting (preferred)
  • IFC and COBie data standards (preferred)
  • Reality capture technology understanding
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Field AI

Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.

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Likely interview questions

  • Walk us through your experience reviewing and validating BIM models against point cloud data. What were the most common modeling issues you identified, and how did you document them?
  • Describe your experience with scan-to-BIM workflows. How have you handled challenges like scan registration quality, point cloud density gaps, or alignment issues?
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