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Field AI is seeking a BIM/VDC Engineer in Irvine, California, to enhance workflows in BIM modeling and point cloud data. The role involves reviewing BIM models for accuracy, identifying discrepancies, and automating processes by developing scripts and tools.
The ideal candidate will have a Bachelor's degree in Civil/Structural Engineering or Architecture and over 3 years of experience in BIM workflows, particularly with Revit. Join us to help transform the way robots interact with the world through reliable AI solutions.
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.
BIM Model Review & Quality Control
Point Cloud to BIM Workflows
Automation & Process Improvement
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.