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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.

• 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.

• 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.

• 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.

• 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.

• 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.

To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always‑sunny Irvine, Southern California and have US based and global teammates.

Join us, shape the future, and be part of a fun, close‑knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.