BIM/VDC Engineer
FieldAI · On-site
MeritLog read this listing from FieldAI's Lever job board and last checked it on September 9, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Irvine, CA
- Company website
- www.fieldai.com
Hiring context
How this role compares at FieldAI
FieldAI has 130 live roles in MeritLog’s catalog across 7 job families, and 99 of them are in engineering. 96 of those listings publish a pay range, a disclosure rate of 74%.
FieldAI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
FieldAI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are looking for a BIM/VDC Engineer who can work at the intersection of BIM modeling, point cloud data, construction documentation, and process automation. This role is ideal for someone who has hands-on experience creating and reviewing BIM models from point clouds, understands construction drawings and site conditions, and is excited about improving workflows through automation. You will be responsible for checking BIM models created by our teams, ensuring they are accurate against point cloud data, identifying deviations or modeling issues, and helping build scalable processes to make BIM QA/QC faster, more consistent, and more automated. What You Will Get To Do BIM Model Review & Quality Control Review BIM models created from point clouds and validate them against source data. Check model accuracy, completeness, geometry quality, classification, naming, and level of detail. Identify missing, misaligned, duplicated, or incorrectly modeled elements. Compare BIM models against point clouds, drawings, and site documentation. Prepare QA/QC reports with actionable feedback for modelers. Ensure models follow project-specific BIM standards, modeling guidelines, and delivery requirements. Point Cloud to BIM Workflows Work with point cloud data from LiDAR scans, 360 captures, or reality capture systems. Understand scan registration quality, point cloud density, alignment issues, and data gaps. Support workflows for converting existing site conditions into clean BIM models. Automation & Process Improvement Identify repetitive BIM tasks that can be automated. Support the development of scripts, tools, templates, checklists, and workflows to improve efficiency. Work with product, engineering, and operations teams to translate manual BIM processes into automated or semi-automated workflows. Help create rule-based checks for model validation, including naming, categorization, element properties, geometry issues. What You Have Bachelor’s degree in Civil/Structural Engineering or Architecture 3+ years of experience in BIM modeling, BIM coordination, or scan-to-BIM workflows. Strong experience with Revit and BIM Experience working with point clouds and validating BIM models against reality capture data. Good understanding of construction drawings, building elements, levels, grids, MEP/structural/architectural coordination, and site documentation. Experience with BIM standards, LOD requirements, naming conventions, parameters, and model organization. Experience with scan-to-BIM delivery for commercial, industrial, infrastructure, or large construction projects. Experience with tools such as Navisworks, Recap, CloudCompare, Cyclone, Autodesk Construction Cloud or BIM 360. What Will Set You Apart Experience creating automation scripts for BIM workflows using Dynamo, Python, Revit API, or similar tools. Familiarity with IFC, COBie, BIM data standards, or construction asset classification systems. Experience with tools such as Rhino, Grasshopper, or Blender.
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